OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

25422 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9506, kappa: 0.7844, kb_relative_information_score: 2207.5761, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9528, predictive_accuracy: 0.9533, prior_entropy: 0.5848, recall: 0.9533, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.572, scimark_benchmark: 1842.0422, usercpu_time_millis: 947.845, usercpu_time_millis_testing: 17.145, usercpu_time_millis_training: 930.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9559, kappa: 0.8092, kb_relative_information_score: 2271.1902, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9573, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.5571, scimark_benchmark: 1853.9121, usercpu_time_millis: 829.581, usercpu_time_millis_testing: 14.758, usercpu_time_millis_training: 814.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9444, kappa: 0.753, kb_relative_information_score: 2017.4795, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9501, predictive_accuracy: 0.9488, prior_entropy: 0.5848, recall: 0.9488, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.6161, scimark_benchmark: 1852.9988, usercpu_time_millis: 870.719, usercpu_time_millis_testing: 14.659, usercpu_time_millis_training: 856.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9496, kappa: 0.7799, kb_relative_information_score: 2185.3446, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9518, predictive_accuracy: 0.9524, prior_entropy: 0.5848, recall: 0.9524, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5823, scimark_benchmark: 1851.3986, usercpu_time_millis: 921.763, usercpu_time_millis_testing: 16.347, usercpu_time_millis_training: 905.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9584, kappa: 0.8195, kb_relative_information_score: 2350.1769, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9601, predictive_accuracy: 0.9604, prior_entropy: 0.5848, recall: 0.9604, relative_absolute_error: 0.2904, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.5346, scimark_benchmark: 1845.779, usercpu_time_millis: 924.272, usercpu_time_millis_testing: 16.135, usercpu_time_millis_training: 908.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9346, kappa: 0.7059, kb_relative_information_score: 1886.5493, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9439, predictive_accuracy: 0.9411, prior_entropy: 0.5848, recall: 0.9411, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.6436, scimark_benchmark: 1731.9625, usercpu_time_millis: 965.313, usercpu_time_millis_testing: 17.143, usercpu_time_millis_training: 948.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.9408, kappa: 0.7366, kb_relative_information_score: 1959.5919, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9468, predictive_accuracy: 0.9457, prior_entropy: 0.5848, recall: 0.9457, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.6345, scimark_benchmark: 1845.779, usercpu_time_millis: 884.356, usercpu_time_millis_testing: 15.479, usercpu_time_millis_training: 868.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.927, kappa: 0.6686, kb_relative_information_score: 1639.5642, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9392, predictive_accuracy: 0.9353, prior_entropy: 0.5848, recall: 0.9353, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.6907, scimark_benchmark: 1810.7217, usercpu_time_millis: 844.863, usercpu_time_millis_testing: 15.368, usercpu_time_millis_training: 829.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9499, kappa: 0.7816, kb_relative_information_score: 2184.8233, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9521, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5806, scimark_benchmark: 1812.8963, usercpu_time_millis: 864.824, usercpu_time_millis_testing: 15.307, usercpu_time_millis_training: 849.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.9449, kappa: 0.7557, kb_relative_information_score: 2064.2516, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.95, predictive_accuracy: 0.9491, prior_entropy: 0.5848, recall: 0.9491, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.6091, scimark_benchmark: 1828.686, usercpu_time_millis: 868.356, usercpu_time_millis_testing: 15.202, usercpu_time_millis_training: 853.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.9408, kappa: 0.7366, kb_relative_information_score: 1955.6809, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9468, predictive_accuracy: 0.9457, prior_entropy: 0.5848, recall: 0.9457, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.6352, scimark_benchmark: 1847.8034, usercpu_time_millis: 841.471, usercpu_time_millis_testing: 14.77, usercpu_time_millis_training: 826.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9592, kappa: 0.8241, kb_relative_information_score: 2377.5538, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9605, predictive_accuracy: 0.961, prior_entropy: 0.5848, recall: 0.961, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5293, scimark_benchmark: 1853.9121, usercpu_time_millis: 857.22, usercpu_time_millis_testing: 15.369, usercpu_time_millis_training: 841.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9581, kappa: 0.8183, kb_relative_information_score: 2345.9814, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9597, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.5356, scimark_benchmark: 1851.4233, usercpu_time_millis: 937.501, usercpu_time_millis_testing: 17.46, usercpu_time_millis_training: 920.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9341, kappa: 0.7035, kb_relative_information_score: 1846.692, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9428, predictive_accuracy: 0.9405, prior_entropy: 0.5848, recall: 0.9405, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.6569, scimark_benchmark: 1850.2875, usercpu_time_millis: 918.244, usercpu_time_millis_testing: 16.977, usercpu_time_millis_training: 901.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9502, kappa: 0.7827, kb_relative_information_score: 2180.1279, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9525, predictive_accuracy: 0.953, prior_entropy: 0.5848, recall: 0.953, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5821, scimark_benchmark: 1852.9988, usercpu_time_millis: 924.6, usercpu_time_millis_testing: 17.041, usercpu_time_millis_training: 907.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.953, kappa: 0.7931, kb_relative_information_score: 2240.5526, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9571, predictive_accuracy: 0.9561, prior_entropy: 0.5848, recall: 0.9561, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.5509, scimark_benchmark: 1853.9121, usercpu_time_millis: 872.336, usercpu_time_millis_testing: 14.97, usercpu_time_millis_training: 857.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.953, kappa: 0.7931, kb_relative_information_score: 2261.5977, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9571, predictive_accuracy: 0.9561, prior_entropy: 0.5848, recall: 0.9561, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.5459, scimark_benchmark: 1854.9533, usercpu_time_millis: 867.361, usercpu_time_millis_testing: 15.144, usercpu_time_millis_training: 852.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.962, kappa: 0.836, kb_relative_information_score: 2382.36, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.5224, scimark_benchmark: 1853.9121, usercpu_time_millis: 867.949, usercpu_time_millis_testing: 14.914, usercpu_time_millis_training: 853.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.9459, kappa: 0.7637, kb_relative_information_score: 2115.7941, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9481, predictive_accuracy: 0.9491, prior_entropy: 0.5848, recall: 0.9491, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.5949, scimark_benchmark: 1853.9849, usercpu_time_millis: 873.024, usercpu_time_millis_testing: 15.943, usercpu_time_millis_training: 857.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9537, kappa: 0.7964, kb_relative_information_score: 2274.2961, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9577, predictive_accuracy: 0.9567, prior_entropy: 0.5848, recall: 0.9567, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.5425, scimark_benchmark: 1855.4813, usercpu_time_millis: 978.55, usercpu_time_millis_testing: 15.73, usercpu_time_millis_training: 962.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9531, kappa: 0.7961, kb_relative_information_score: 2232.2834, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9549, predictive_accuracy: 0.9555, prior_entropy: 0.5848, recall: 0.9555, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.196, root_relative_squared_error: 0.565, scimark_benchmark: 1853.9121, usercpu_time_millis: 937.596, usercpu_time_millis_testing: 17.129, usercpu_time_millis_training: 920.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9385, kappa: 0.7254, kb_relative_information_score: 1928.4698, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9453, predictive_accuracy: 0.9439, prior_entropy: 0.5848, recall: 0.9439, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.222, root_relative_squared_error: 0.6397, scimark_benchmark: 1850.2875, usercpu_time_millis: 932.019, usercpu_time_millis_testing: 16.33, usercpu_time_millis_training: 915.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9508, kappa: 0.7837, kb_relative_information_score: 2195.2191, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9544, predictive_accuracy: 0.9539, prior_entropy: 0.5848, recall: 0.9539, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5718, scimark_benchmark: 1848.2615, usercpu_time_millis: 864.443, usercpu_time_millis_testing: 14.819, usercpu_time_millis_training: 849.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9537, kappa: 0.7964, kb_relative_information_score: 2281.226, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9577, predictive_accuracy: 0.9567, prior_entropy: 0.5848, recall: 0.9567, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.5409, scimark_benchmark: 1734.6706, usercpu_time_millis: 1002.285, usercpu_time_millis_testing: 16.984, usercpu_time_millis_training: 985.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9661, kappa: 0.8539, kb_relative_information_score: 2527.1149, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.4825, scimark_benchmark: 1852.3877, usercpu_time_millis: 895.197, usercpu_time_millis_testing: 15.184, usercpu_time_millis_training: 880.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9367, kappa: 0.7163, kb_relative_information_score: 1939.2846, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9448, predictive_accuracy: 0.9427, prior_entropy: 0.5848, recall: 0.9427, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.219, root_relative_squared_error: 0.6312, scimark_benchmark: 1852.5406, usercpu_time_millis: 904.565, usercpu_time_millis_testing: 15.876, usercpu_time_millis_training: 888.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9419, kappa: 0.7438, kb_relative_information_score: 2046.69, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9456, predictive_accuracy: 0.946, prior_entropy: 0.5848, recall: 0.946, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.6152, scimark_benchmark: 1853.9849, usercpu_time_millis: 960.68, usercpu_time_millis_testing: 16.802, usercpu_time_millis_training: 943.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.9445, kappa: 0.754, kb_relative_information_score: 2059.5587, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9497, predictive_accuracy: 0.9488, prior_entropy: 0.5848, recall: 0.9488, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.6095, scimark_benchmark: 1853.454, usercpu_time_millis: 925.151, usercpu_time_millis_testing: 15.999, usercpu_time_millis_training: 909.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.9451, kappa: 0.7564, kb_relative_information_score: 2029.3605, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9506, predictive_accuracy: 0.9494, prior_entropy: 0.5848, recall: 0.9494, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.6147, scimark_benchmark: 1850.8706, usercpu_time_millis: 893.898, usercpu_time_millis_testing: 15.451, usercpu_time_millis_training: 878.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9379, kappa: 0.7218, kb_relative_information_score: 1956, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9456, predictive_accuracy: 0.9436, prior_entropy: 0.5848, recall: 0.9436, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.6276, scimark_benchmark: 1853.3841, usercpu_time_millis: 925.226, usercpu_time_millis_testing: 15.947, usercpu_time_millis_training: 909.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9532, kappa: 0.7952, kb_relative_information_score: 2254.7389, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9564, predictive_accuracy: 0.9561, prior_entropy: 0.5848, recall: 0.9561, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5598, scimark_benchmark: 1856.0123, usercpu_time_millis: 954.775, usercpu_time_millis_testing: 17.065, usercpu_time_millis_training: 937.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9474, kappa: 0.7689, kb_relative_information_score: 2143.4636, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.5848, recall: 0.9509, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.5932, scimark_benchmark: 1853.9849, usercpu_time_millis: 986.391, usercpu_time_millis_testing: 17.316, usercpu_time_millis_training: 969.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9562, kappa: 0.8082, kb_relative_information_score: 2321.2378, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.5297, scimark_benchmark: 1850.2875, usercpu_time_millis: 989.706, usercpu_time_millis_testing: 15.406, usercpu_time_millis_training: 974.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.9307, kappa: 0.6866, kb_relative_information_score: 1740.8816, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9414, predictive_accuracy: 0.9381, prior_entropy: 0.5848, recall: 0.9381, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.6756, scimark_benchmark: 1849.8294, usercpu_time_millis: 909.193, usercpu_time_millis_testing: 16.111, usercpu_time_millis_training: 893.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9661, kappa: 0.8539, kb_relative_information_score: 2525.6697, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.4828, scimark_benchmark: 1858.6076, usercpu_time_millis: 907.432, usercpu_time_millis_testing: 15.418, usercpu_time_millis_training: 892.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.9494, kappa: 0.7764, kb_relative_information_score: 2126.9765, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9542, predictive_accuracy: 0.953, prior_entropy: 0.5848, recall: 0.953, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.5859, scimark_benchmark: 1850.2875, usercpu_time_millis: 961.719, usercpu_time_millis_testing: 16.446, usercpu_time_millis_training: 945.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.9426, kappa: 0.7458, kb_relative_information_score: 1989.6055, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9473, predictive_accuracy: 0.9469, prior_entropy: 0.5848, recall: 0.9469, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.218, root_relative_squared_error: 0.6284, scimark_benchmark: 1849.8294, usercpu_time_millis: 1015.248, usercpu_time_millis_testing: 18.511, usercpu_time_millis_training: 996.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 692.3046, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.8718, scimark_benchmark: 1856.0123, usercpu_time_millis: 944.232, usercpu_time_millis_testing: 15.885, usercpu_time_millis_training: 928.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.9497, kappa: 0.7781, kb_relative_information_score: 2152.9897, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9545, predictive_accuracy: 0.9533, prior_entropy: 0.5848, recall: 0.9533, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5806, scimark_benchmark: 1849.8294, usercpu_time_millis: 1023.591, usercpu_time_millis_testing: 17.578, usercpu_time_millis_training: 1006.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9508, kappa: 0.7837, kb_relative_information_score: 2195.5301, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9544, predictive_accuracy: 0.9539, prior_entropy: 0.5848, recall: 0.9539, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5718, scimark_benchmark: 1854.9533, usercpu_time_millis: 1020.678, usercpu_time_millis_testing: 17.086, usercpu_time_millis_training: 1003.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.9458, kappa: 0.7607, kb_relative_information_score: 2081.5227, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9501, predictive_accuracy: 0.9497, prior_entropy: 0.5848, recall: 0.9497, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.6066, scimark_benchmark: 1846.1643, usercpu_time_millis: 1036.646, usercpu_time_millis_testing: 17.797, usercpu_time_millis_training: 1018.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.9413, kappa: 0.7389, kb_relative_information_score: 1967.5134, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9469, predictive_accuracy: 0.946, prior_entropy: 0.5848, recall: 0.946, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.6333, scimark_benchmark: 1854.4431, usercpu_time_millis: 974.93, usercpu_time_millis_testing: 18.006, usercpu_time_millis_training: 956.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9508, kappa: 0.7831, kb_relative_information_score: 2179.0717, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9554, predictive_accuracy: 0.9543, prior_entropy: 0.5848, recall: 0.9543, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.5755, scimark_benchmark: 1853.454, usercpu_time_millis: 1025.892, usercpu_time_millis_testing: 17.687, usercpu_time_millis_training: 1008.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.9316, kappa: 0.691, kb_relative_information_score: 1769.361, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9417, predictive_accuracy: 0.9387, prior_entropy: 0.5848, recall: 0.9387, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.6704, scimark_benchmark: 1853.9121, usercpu_time_millis: 918.044, usercpu_time_millis_testing: 16.904, usercpu_time_millis_training: 901.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9543, kappa: 0.8001, kb_relative_information_score: 2286.4153, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9573, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.551, scimark_benchmark: 1853.454, usercpu_time_millis: 918.4, usercpu_time_millis_testing: 15.969, usercpu_time_millis_training: 902.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9344, kappa: 0.7054, kb_relative_information_score: 1852.474, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9431, predictive_accuracy: 0.9408, prior_entropy: 0.5848, recall: 0.9408, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.6556, scimark_benchmark: 1855.0232, usercpu_time_millis: 946.573, usercpu_time_millis_testing: 17.369, usercpu_time_millis_training: 929.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9226, kappa: 0.647, kb_relative_information_score: 1581.5761, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9363, predictive_accuracy: 0.932, prior_entropy: 0.5848, recall: 0.932, relative_absolute_error: 0.565, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.244, root_relative_squared_error: 0.7033, scimark_benchmark: 1853.9121, usercpu_time_millis: 1007.335, usercpu_time_millis_testing: 18.256, usercpu_time_millis_training: 989.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9476, kappa: 0.7691, kb_relative_information_score: 2108.6645, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9516, predictive_accuracy: 0.9512, prior_entropy: 0.5848, recall: 0.9512, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6009, scimark_benchmark: 1850.2875, usercpu_time_millis: 975.303, usercpu_time_millis_testing: 17.524, usercpu_time_millis_training: 957.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.9214, kappa: 0.6411, kb_relative_information_score: 1575.518, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9355, predictive_accuracy: 0.9311, prior_entropy: 0.5848, recall: 0.9311, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.7054, scimark_benchmark: 1855.0232, usercpu_time_millis: 1022.521, usercpu_time_millis_testing: 18.624, usercpu_time_millis_training: 1003.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.952, kappa: 0.789, kb_relative_information_score: 2187.0072, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9559, predictive_accuracy: 0.9552, prior_entropy: 0.5848, recall: 0.9552, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.5738, scimark_benchmark: 1849.7595, usercpu_time_millis: 1034.031, usercpu_time_millis_testing: 17.509, usercpu_time_millis_training: 1016.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.9526, kappa: 0.7923, kb_relative_information_score: 2246.6099, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9557, predictive_accuracy: 0.9555, prior_entropy: 0.5848, recall: 0.9555, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5626, scimark_benchmark: 1853.5297, usercpu_time_millis: 932.508, usercpu_time_millis_testing: 16.446, usercpu_time_millis_training: 916.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.9345, kappa: 0.706, kb_relative_information_score: 1866.3139, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9429, predictive_accuracy: 0.9408, prior_entropy: 0.5848, recall: 0.9408, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.653, scimark_benchmark: 1850.2875, usercpu_time_millis: 937.709, usercpu_time_millis_testing: 16.733, usercpu_time_millis_training: 920.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9363, kappa: 0.7139, kb_relative_information_score: 1917.0589, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9447, predictive_accuracy: 0.9424, prior_entropy: 0.5848, recall: 0.9424, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.6359, scimark_benchmark: 1853.454, usercpu_time_millis: 1003.533, usercpu_time_millis_testing: 17.449, usercpu_time_millis_training: 986.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.941, kappa: 0.7367, kb_relative_information_score: 2002.6927, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9477, predictive_accuracy: 0.946, prior_entropy: 0.5848, recall: 0.946, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.6162, scimark_benchmark: 1853.9121, usercpu_time_millis: 1062, usercpu_time_millis_testing: 18.229, usercpu_time_millis_training: 1043.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9246, kappa: 0.6569, kb_relative_information_score: 1611.0243, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9376, predictive_accuracy: 0.9335, prior_entropy: 0.5848, recall: 0.9335, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.6961, scimark_benchmark: 1850.2875, usercpu_time_millis: 965.955, usercpu_time_millis_testing: 17.053, usercpu_time_millis_training: 948.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.9451, kappa: 0.7564, kb_relative_information_score: 2038.0551, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9506, predictive_accuracy: 0.9494, prior_entropy: 0.5848, recall: 0.9494, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.6128, scimark_benchmark: 1855.4813, usercpu_time_millis: 971.753, usercpu_time_millis_testing: 16.122, usercpu_time_millis_training: 955.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9508, kappa: 0.7831, kb_relative_information_score: 2151.1192, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9554, predictive_accuracy: 0.9543, prior_entropy: 0.5848, recall: 0.9543, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.5801, scimark_benchmark: 1853.3841, usercpu_time_millis: 966.274, usercpu_time_millis_testing: 17.071, usercpu_time_millis_training: 949.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.9346, kappa: 0.7059, kb_relative_information_score: 1890.0181, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9439, predictive_accuracy: 0.9411, prior_entropy: 0.5848, recall: 0.9411, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.6424, scimark_benchmark: 1849.3742, usercpu_time_millis: 1031.523, usercpu_time_millis_testing: 18.828, usercpu_time_millis_training: 1012.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9501, kappa: 0.7798, kb_relative_information_score: 2160.0656, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9548, predictive_accuracy: 0.9536, prior_entropy: 0.5848, recall: 0.9536, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.5791, scimark_benchmark: 1859.6666, usercpu_time_millis: 971.44, usercpu_time_millis_testing: 16.809, usercpu_time_millis_training: 954.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9663, kappa: 0.8549, kb_relative_information_score: 2492.6185, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.4857, scimark_benchmark: 1848.2722, usercpu_time_millis: 1020.381, usercpu_time_millis_testing: 17.297, usercpu_time_millis_training: 1003.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9522, kappa: 0.7907, kb_relative_information_score: 2240.358, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9554, predictive_accuracy: 0.9552, prior_entropy: 0.5848, recall: 0.9552, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.196, root_relative_squared_error: 0.5649, scimark_benchmark: 1851.3986, usercpu_time_millis: 1042.485, usercpu_time_millis_testing: 18.281, usercpu_time_millis_training: 1024.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9448, kappa: 0.7552, kb_relative_information_score: 2042.4638, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9502, predictive_accuracy: 0.9491, prior_entropy: 0.5848, recall: 0.9491, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.612, scimark_benchmark: 1849.513, usercpu_time_millis: 1062.791, usercpu_time_millis_testing: 18.679, usercpu_time_millis_training: 1044.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.8628, kappa: 0.3459, kb_relative_information_score: 686.2798, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.8717, scimark_benchmark: 1853.0716, usercpu_time_millis: 1011.301, usercpu_time_millis_testing: 17.321, usercpu_time_millis_training: 993.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9675, kappa: 0.861, kb_relative_information_score: 2530.0774, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9683, predictive_accuracy: 0.9686, prior_entropy: 0.5848, recall: 0.9686, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.4674, scimark_benchmark: 1850.8185, usercpu_time_millis: 1098.916, usercpu_time_millis_testing: 17.092, usercpu_time_millis_training: 1081.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9615, kappa: 0.8328, kb_relative_information_score: 2378.1273, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9637, predictive_accuracy: 0.9634, prior_entropy: 0.5848, recall: 0.9634, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5107, scimark_benchmark: 1843.1261, usercpu_time_millis: 997.051, usercpu_time_millis_testing: 15.667, usercpu_time_millis_training: 981.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9598, kappa: 0.8249, kb_relative_information_score: 2365.6947, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9622, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5151, scimark_benchmark: 1854.4431, usercpu_time_millis: 1053.221, usercpu_time_millis_testing: 16.727, usercpu_time_millis_training: 1036.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9497, kappa: 0.7781, kb_relative_information_score: 2139.8295, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9545, predictive_accuracy: 0.9533, prior_entropy: 0.5848, recall: 0.9533, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.5831, scimark_benchmark: 1855.4813, usercpu_time_millis: 1008.34, usercpu_time_millis_testing: 17.188, usercpu_time_millis_training: 991.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9526, kappa: 0.7914, kb_relative_information_score: 2259.8511, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9568, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.5463, scimark_benchmark: 1849.7595, usercpu_time_millis: 1056.768, usercpu_time_millis_testing: 18.305, usercpu_time_millis_training: 1038.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9537, kappa: 0.7964, kb_relative_information_score: 2272.7028, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9577, predictive_accuracy: 0.9567, prior_entropy: 0.5848, recall: 0.9567, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.543, scimark_benchmark: 1807.998, usercpu_time_millis: 1001.53, usercpu_time_millis_testing: 16.549, usercpu_time_millis_training: 984.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.953, kappa: 0.7931, kb_relative_information_score: 2264.1743, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9571, predictive_accuracy: 0.9561, prior_entropy: 0.5848, recall: 0.9561, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.5452, scimark_benchmark: 1848.5664, usercpu_time_millis: 1086.678, usercpu_time_millis_testing: 19.232, usercpu_time_millis_training: 1067.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8931, kappa: 0.5039, kb_relative_information_score: 1290.184, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9101, predictive_accuracy: 0.9094, prior_entropy: 0.5848, recall: 0.9094, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.269, root_relative_squared_error: 0.7754, scimark_benchmark: 1735.1328, usercpu_time_millis: 1099.9, usercpu_time_millis_testing: 18.121, usercpu_time_millis_training: 1081.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.8623, kappa: 0.3439, kb_relative_information_score: 692.3317, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8988, predictive_accuracy: 0.8917, prior_entropy: 0.5848, recall: 0.8917, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.8736, scimark_benchmark: 1856.5802, usercpu_time_millis: 1072.963, usercpu_time_millis_testing: 18.041, usercpu_time_millis_training: 1054.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8846, kappa: 0.4612, kb_relative_information_score: 1159.8612, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9037, predictive_accuracy: 0.9036, prior_entropy: 0.5848, recall: 0.9036, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.8057, scimark_benchmark: 1857.1082, usercpu_time_millis: 1025.994, usercpu_time_millis_testing: 17.41, usercpu_time_millis_training: 1008.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9722, kappa: 0.8815, kb_relative_information_score: 2441.7503, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9725, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4689, scimark_benchmark: 1849.3014, usercpu_time_millis: 1112.541, usercpu_time_millis_testing: 17.803, usercpu_time_millis_training: 1094.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9544, kappa: 0.7996, kb_relative_information_score: 2289.7566, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9582, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.187, root_relative_squared_error: 0.5391, scimark_benchmark: 1843.1261, usercpu_time_millis: 1166.467, usercpu_time_millis_testing: 18.771, usercpu_time_millis_training: 1147.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9748, kappa: 0.893, kb_relative_information_score: 2501.2462, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.975, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4558, scimark_benchmark: 1800.5714, usercpu_time_millis: 1137.282, usercpu_time_millis_testing: 18.253, usercpu_time_millis_training: 1119.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9742, kappa: 0.8906, kb_relative_information_score: 2473.3784, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4577, scimark_benchmark: 1733.8252, usercpu_time_millis: 1211.111, usercpu_time_millis_testing: 19.028, usercpu_time_millis_training: 1192.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 494.2461, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.8666, scimark_benchmark: 1736.0929, usercpu_time_millis: 1271.77, usercpu_time_millis_testing: 20.413, usercpu_time_millis_training: 1251.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9459, kappa: 0.7644, kb_relative_information_score: 2206.6186, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9474, predictive_accuracy: 0.9488, prior_entropy: 0.5848, recall: 0.9488, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.566, scimark_benchmark: 1855.0232, usercpu_time_millis: 1141.995, usercpu_time_millis_testing: 14.566, usercpu_time_millis_training: 1127.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8678, kappa: 0.3743, kb_relative_information_score: 461.7947, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8956, predictive_accuracy: 0.8939, prior_entropy: 0.5848, recall: 0.8939, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.8456, scimark_benchmark: 1850.8185, usercpu_time_millis: 1275.209, usercpu_time_millis_testing: 19.644, usercpu_time_millis_training: 1255.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9732, kappa: 0.8863, kb_relative_information_score: 2517.0745, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.4508, scimark_benchmark: 1848.4799, usercpu_time_millis: 1182.199, usercpu_time_millis_testing: 18.096, usercpu_time_millis_training: 1164.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9732, kappa: 0.8863, kb_relative_information_score: 2511.794, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.4514, scimark_benchmark: 1855.4813, usercpu_time_millis: 1255.596, usercpu_time_millis_testing: 19.86, usercpu_time_millis_training: 1235.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.8628, kappa: 0.3459, kb_relative_information_score: 568.8271, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.8659, scimark_benchmark: 1811.6637, usercpu_time_millis: 1314.174, usercpu_time_millis_testing: 20.655, usercpu_time_millis_training: 1293.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.8629, kappa: 0.3481, kb_relative_information_score: 374.4998, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8951, predictive_accuracy: 0.8914, prior_entropy: 0.5848, recall: 0.8914, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.8599, scimark_benchmark: 1846.7485, usercpu_time_millis: 1335.501, usercpu_time_millis_testing: 20.346, usercpu_time_millis_training: 1315.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9232, kappa: 0.6549, kb_relative_information_score: 1426.1355, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9301, predictive_accuracy: 0.9308, prior_entropy: 0.5848, recall: 0.9308, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.6609, scimark_benchmark: 1844.6953, usercpu_time_millis: 1259.657, usercpu_time_millis_testing: 19.014, usercpu_time_millis_training: 1240.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8877, kappa: 0.4778, kb_relative_information_score: 769.3629, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9048, predictive_accuracy: 0.9055, prior_entropy: 0.5848, recall: 0.9055, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.7832, scimark_benchmark: 1849.0794, usercpu_time_millis: 1359.294, usercpu_time_millis_testing: 20.66, usercpu_time_millis_training: 1338.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8721, kappa: 0.3965, kb_relative_information_score: 549.4625, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8977, predictive_accuracy: 0.8963, prior_entropy: 0.5848, recall: 0.8963, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.289, root_relative_squared_error: 0.8329, scimark_benchmark: 1850.8185, usercpu_time_millis: 1316.18, usercpu_time_millis_testing: 21.075, usercpu_time_millis_training: 1295.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.8708, kappa: 0.3899, kb_relative_information_score: 890.0808, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8976, predictive_accuracy: 0.8957, prior_entropy: 0.5848, recall: 0.8957, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.8516, scimark_benchmark: 1848.8302, usercpu_time_millis: 1341.335, usercpu_time_millis_testing: 23.092, usercpu_time_millis_training: 1318.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9655, kappa: 0.8521, kb_relative_information_score: 2322.6234, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9664, predictive_accuracy: 0.9668, prior_entropy: 0.5848, recall: 0.9668, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.4924, scimark_benchmark: 1852.9988, usercpu_time_millis: 1365.662, usercpu_time_millis_testing: 21.968, usercpu_time_millis_training: 1343.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.8625, kappa: 0.3449, kb_relative_information_score: 688.7943, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.8729, scimark_benchmark: 1859.6666, usercpu_time_millis: 1345.023, usercpu_time_millis_testing: 23.294, usercpu_time_millis_training: 1321.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.8668, kappa: 0.3698, kb_relative_information_score: 519.7284, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8934, predictive_accuracy: 0.893, prior_entropy: 0.5848, recall: 0.893, relative_absolute_error: 0.7107, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.8499, scimark_benchmark: 1854.9533, usercpu_time_millis: 1395.045, usercpu_time_millis_testing: 21.186, usercpu_time_millis_training: 1373.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9491, kappa: 0.7774, kb_relative_information_score: 1979.5594, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9517, predictive_accuracy: 0.9521, prior_entropy: 0.5848, recall: 0.9521, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.5599, scimark_benchmark: 1849.8294, usercpu_time_millis: 1364.362, usercpu_time_millis_testing: 20.975, usercpu_time_millis_training: 1343.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8623, kappa: 0.3439, kb_relative_information_score: 571.5756, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8988, predictive_accuracy: 0.8917, prior_entropy: 0.5848, recall: 0.8917, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.8638, scimark_benchmark: 1847.3589, usercpu_time_millis: 1427.652, usercpu_time_millis_testing: 23.614, usercpu_time_millis_training: 1404.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 394.8808, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.86, scimark_benchmark: 1852.5406, usercpu_time_millis: 1341.064, usercpu_time_millis_testing: 20.11, usercpu_time_millis_training: 1320.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8909, kappa: 0.4939, kb_relative_information_score: 851.8389, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9071, predictive_accuracy: 0.9076, prior_entropy: 0.5848, recall: 0.9076, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.7738, scimark_benchmark: 1854.4431, usercpu_time_millis: 1438.546, usercpu_time_millis_testing: 22.791, usercpu_time_millis_training: 1415.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.8619, kappa: 0.3435, kb_relative_information_score: 471.9615, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8926, predictive_accuracy: 0.8905, prior_entropy: 0.5848, recall: 0.8905, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.8626, scimark_benchmark: 1853.9121, usercpu_time_millis: 1436.506, usercpu_time_millis_testing: 21.451, usercpu_time_millis_training: 1415.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 482.3228, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.8661, scimark_benchmark: 1833.639, usercpu_time_millis: 1408.034, usercpu_time_millis_testing: 21.504, usercpu_time_millis_training: 1386.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.8671, kappa: 0.372, kb_relative_information_score: 650.9411, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8913, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.8556, scimark_benchmark: 1853.454, usercpu_time_millis: 1323.587, usercpu_time_millis_testing: 19.479, usercpu_time_millis_training: 1304.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.8652, kappa: 0.3605, kb_relative_information_score: 372.5465, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8957, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.8537, scimark_benchmark: 1854.4431, usercpu_time_millis: 1378.251, usercpu_time_millis_testing: 21.805, usercpu_time_millis_training: 1356.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 398.5079, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8604, scimark_benchmark: 1857.5664, usercpu_time_millis: 1401.185, usercpu_time_millis_testing: 21.52, usercpu_time_millis_training: 1379.665,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs