Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9372, kappa: 0.8448, kb_relative_information_score: 25627.1188, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9374, predictive_accuracy: 0.9379, prior_entropy: 0.863, recall: 0.9379, relative_absolute_error: 0.2685, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4782, scimark_benchmark: 1279.5762, usercpu_time_millis: 815.895, usercpu_time_millis_testing: 14.437, usercpu_time_millis_training: 801.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9392, kappa: 0.8497, kb_relative_information_score: 26001.9039, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9392, predictive_accuracy: 0.9397, prior_entropy: 0.863, recall: 0.9397, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4695, scimark_benchmark: 1251.6676, usercpu_time_millis: 1372.941, usercpu_time_millis_testing: 18.337, usercpu_time_millis_training: 1354.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9292, kappa: 0.8236, kb_relative_information_score: 24449.9846, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9306, predictive_accuracy: 0.9306, prior_entropy: 0.863, recall: 0.9306, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.5011, scimark_benchmark: 1255.6818, usercpu_time_millis: 4999.422, usercpu_time_millis_testing: 68.399, usercpu_time_millis_training: 4931.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9674, kappa: 0.9199, kb_relative_information_score: 29494.758, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3537, scimark_benchmark: 1302.7425, usercpu_time_millis: 2777.845, usercpu_time_millis_testing: 49.219, usercpu_time_millis_training: 2728.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8942, kappa: 0.7318, kb_relative_information_score: 15644.8819, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9049, predictive_accuracy: 0.8998, prior_entropy: 0.863, recall: 0.8998, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.663, scimark_benchmark: 1252.6261, usercpu_time_millis: 944.398, usercpu_time_millis_testing: 67.568, usercpu_time_millis_training: 876.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9644, kappa: 0.9126, kb_relative_information_score: 29019.5333, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3713, scimark_benchmark: 1265.6816, usercpu_time_millis: 5632.377, usercpu_time_millis_testing: 93.582, usercpu_time_millis_training: 5538.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9173, kappa: 0.7916, kb_relative_information_score: 17920.0067, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9237, predictive_accuracy: 0.9205, prior_entropy: 0.863, recall: 0.9205, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.6116, scimark_benchmark: 1266.6559, usercpu_time_millis: 163.43, usercpu_time_millis_testing: 14.542, usercpu_time_millis_training: 148.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.95, kappa: 0.8766, kb_relative_information_score: 26174.8629, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4428, scimark_benchmark: 1254.303, usercpu_time_millis: 823.394, usercpu_time_millis_testing: 36.537, usercpu_time_millis_training: 786.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9376, kappa: 0.8453, kb_relative_information_score: 25096.1667, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4796, scimark_benchmark: 1294.5268, usercpu_time_millis: 228.727, usercpu_time_millis_testing: 5.92, usercpu_time_millis_training: 222.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9637, kappa: 0.9108, kb_relative_information_score: 28268.1745, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3792, scimark_benchmark: 1284.8092, usercpu_time_millis: 959.67, usercpu_time_millis_testing: 53.78, usercpu_time_millis_training: 905.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.965, kappa: 0.914, kb_relative_information_score: 28931.0947, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.367, scimark_benchmark: 1242.422, usercpu_time_millis: 3210.739, usercpu_time_millis_testing: 85.033, usercpu_time_millis_training: 3125.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9463, kappa: 0.8676, kb_relative_information_score: 26430.743, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9462, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.449, scimark_benchmark: 1273.7844, usercpu_time_millis: 150.204, usercpu_time_millis_testing: 5.624, usercpu_time_millis_training: 144.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28767.3515, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3827, scimark_benchmark: 1267.6794, usercpu_time_millis: 3793.199, usercpu_time_millis_testing: 43.642, usercpu_time_millis_training: 3749.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9619, kappa: 0.9066, kb_relative_information_score: 28836.3706, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3808, scimark_benchmark: 1292.3128, usercpu_time_millis: 7674.889, usercpu_time_millis_testing: 74.305, usercpu_time_millis_training: 7600.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9471, kappa: 0.8697, kb_relative_information_score: 26487.1904, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.863, recall: 0.9474, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4471, scimark_benchmark: 1306.4624, usercpu_time_millis: 1417.967, usercpu_time_millis_testing: 48.179, usercpu_time_millis_training: 1369.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9484, kappa: 0.8731, kb_relative_information_score: 26723.5061, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.443, scimark_benchmark: 1296.4035, usercpu_time_millis: 2877.471, usercpu_time_millis_testing: 77.051, usercpu_time_millis_training: 2800.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9604, kappa: 0.9029, kb_relative_information_score: 28467.6484, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3889, scimark_benchmark: 1304.5032, usercpu_time_millis: 1361.935, usercpu_time_millis_testing: 43.583, usercpu_time_millis_training: 1318.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9213, kappa: 0.8025, kb_relative_information_score: 23508.294, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9248, predictive_accuracy: 0.9236, prior_entropy: 0.863, recall: 0.9236, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.5174, scimark_benchmark: 1251.4134, usercpu_time_millis: 440.952, usercpu_time_millis_testing: 11.263, usercpu_time_millis_training: 429.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9339, kappa: 0.8361, kb_relative_information_score: 25126.3637, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.9349, prior_entropy: 0.863, recall: 0.9349, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4911, scimark_benchmark: 1252.2548, usercpu_time_millis: 1803.448, usercpu_time_millis_testing: 36.827, usercpu_time_millis_training: 1766.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.926, kappa: 0.8156, kb_relative_information_score: 19859.0713, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9271, predictive_accuracy: 0.9273, prior_entropy: 0.863, recall: 0.9273, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5757, scimark_benchmark: 1249.4362, usercpu_time_millis: 94.139, usercpu_time_millis_testing: 6.142, usercpu_time_millis_training: 87.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9338, kappa: 0.8356, kb_relative_information_score: 24902.839, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.9348, prior_entropy: 0.863, recall: 0.9348, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.492, scimark_benchmark: 1261.3214, usercpu_time_millis: 675.337, usercpu_time_millis_testing: 13.043, usercpu_time_millis_training: 662.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9566, kappa: 0.8929, kb_relative_information_score: 27042.4729, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9568, prior_entropy: 0.863, recall: 0.9568, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.187, root_relative_squared_error: 0.414, scimark_benchmark: 1258.7324, usercpu_time_millis: 614.074, usercpu_time_millis_testing: 25.198, usercpu_time_millis_training: 588.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.954, kappa: 0.887, kb_relative_information_score: 27522.7073, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4216, scimark_benchmark: 1241.163, usercpu_time_millis: 941.906, usercpu_time_millis_testing: 11.97, usercpu_time_millis_training: 929.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.955, kappa: 0.8896, kb_relative_information_score: 27762.3685, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4138, scimark_benchmark: 1303.7754, usercpu_time_millis: 2648.148, usercpu_time_millis_testing: 75.709, usercpu_time_millis_training: 2572.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9694, kappa: 0.9249, kb_relative_information_score: 30046.1227, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.155, root_relative_squared_error: 0.3432, scimark_benchmark: 1250.9549, usercpu_time_millis: 402.756, usercpu_time_millis_testing: 8.682, usercpu_time_millis_training: 394.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9672, kappa: 0.9195, kb_relative_information_score: 29463.6928, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3537, scimark_benchmark: 1270.7519, usercpu_time_millis: 2824.502, usercpu_time_millis_testing: 63.064, usercpu_time_millis_training: 2761.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9404, kappa: 0.8525, kb_relative_information_score: 25099.6883, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4742, scimark_benchmark: 1309.1986, usercpu_time_millis: 328.518, usercpu_time_millis_testing: 15.748, usercpu_time_millis_training: 312.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9235, kappa: 0.8087, kb_relative_information_score: 22737.3979, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9261, predictive_accuracy: 0.9255, prior_entropy: 0.863, recall: 0.9255, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.5271, scimark_benchmark: 1272.7022, usercpu_time_millis: 194.579, usercpu_time_millis_testing: 7.987, usercpu_time_millis_training: 186.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9585, kappa: 0.8981, kb_relative_information_score: 28477.0416, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3938, scimark_benchmark: 1246.4708, usercpu_time_millis: 257.926, usercpu_time_millis_testing: 5.095, usercpu_time_millis_training: 252.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9333, kappa: 0.8344, kb_relative_information_score: 25097.7708, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.493, scimark_benchmark: 1253.5567, usercpu_time_millis: 1730.44, usercpu_time_millis_testing: 30.497, usercpu_time_millis_training: 1699.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9642, kappa: 0.9119, kb_relative_information_score: 28871.8413, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3714, scimark_benchmark: 1262.3039, usercpu_time_millis: 2991.121, usercpu_time_millis_testing: 100.655, usercpu_time_millis_training: 2890.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9603, kappa: 0.9025, kb_relative_information_score: 28326.4898, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3906, scimark_benchmark: 1263.193, usercpu_time_millis: 2886.439, usercpu_time_millis_testing: 64.529, usercpu_time_millis_training: 2821.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9342, kappa: 0.8369, kb_relative_information_score: 25229.8596, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9352, prior_entropy: 0.863, recall: 0.9352, relative_absolute_error: 0.2812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4904, scimark_benchmark: 1263.1974, usercpu_time_millis: 2862.725, usercpu_time_millis_testing: 50.085, usercpu_time_millis_training: 2812.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9469, kappa: 0.8687, kb_relative_information_score: 25551.936, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9475, prior_entropy: 0.863, recall: 0.9475, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4552, scimark_benchmark: 1302.9442, usercpu_time_millis: 1471.737, usercpu_time_millis_testing: 51.818, usercpu_time_millis_training: 1419.919,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9617, kappa: 0.906, kb_relative_information_score: 28539.3848, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.383, scimark_benchmark: 1277.7599, usercpu_time_millis: 133.417, usercpu_time_millis_testing: 5.136, usercpu_time_millis_training: 128.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9199, kappa: 0.799, kb_relative_information_score: 23320.7041, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9238, predictive_accuracy: 0.9224, prior_entropy: 0.863, recall: 0.9224, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.5215, scimark_benchmark: 1304.4547, usercpu_time_millis: 1410.271, usercpu_time_millis_testing: 27.644, usercpu_time_millis_training: 1382.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9647, kappa: 0.9134, kb_relative_information_score: 28982.4828, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3688, scimark_benchmark: 1297.144, usercpu_time_millis: 3541.641, usercpu_time_millis_testing: 77.649, usercpu_time_millis_training: 3463.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29508.1751, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3538, scimark_benchmark: 1291.3046, usercpu_time_millis: 3174.18, usercpu_time_millis_testing: 43.896, usercpu_time_millis_training: 3130.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9192, kappa: 0.797, kb_relative_information_score: 24126.654, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9235, predictive_accuracy: 0.9218, prior_entropy: 0.863, recall: 0.9218, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.514, scimark_benchmark: 1297.9083, usercpu_time_millis: 3467.117, usercpu_time_millis_testing: 43.181, usercpu_time_millis_training: 3423.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8735, kappa: 0.6908, kb_relative_information_score: 17426.1874, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8739, predictive_accuracy: 0.8731, prior_entropy: 0.863, recall: 0.8731, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.6537, scimark_benchmark: 1290.0639, usercpu_time_millis: 226.477, usercpu_time_millis_testing: 12.131, usercpu_time_millis_training: 214.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9383, kappa: 0.8465, kb_relative_information_score: 21212.6611, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9395, predictive_accuracy: 0.9394, prior_entropy: 0.863, recall: 0.9394, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5419, scimark_benchmark: 1277.9677, usercpu_time_millis: 171.008, usercpu_time_millis_testing: 12.448, usercpu_time_millis_training: 158.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9587, kappa: 0.8985, kb_relative_information_score: 27806.0318, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4046, scimark_benchmark: 1286.0493, usercpu_time_millis: 135.523, usercpu_time_millis_testing: 5.104, usercpu_time_millis_training: 130.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9344, kappa: 0.8371, kb_relative_information_score: 24476.5323, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4934, scimark_benchmark: 1295.702, usercpu_time_millis: 2671.352, usercpu_time_millis_testing: 62.512, usercpu_time_millis_training: 2608.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9407, kappa: 0.8533, kb_relative_information_score: 25876.0837, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.211, root_relative_squared_error: 0.467, scimark_benchmark: 1279.7053, usercpu_time_millis: 1395.617, usercpu_time_millis_testing: 52.33, usercpu_time_millis_training: 1343.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.96, kappa: 0.9016, kb_relative_information_score: 28096.2422, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3953, scimark_benchmark: 1279.2603, usercpu_time_millis: 1873.706, usercpu_time_millis_testing: 91.529, usercpu_time_millis_training: 1782.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9577, kappa: 0.896, kb_relative_information_score: 27671.9249, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.407, scimark_benchmark: 1304.4716, usercpu_time_millis: 2692.057, usercpu_time_millis_testing: 70.567, usercpu_time_millis_training: 2621.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9182, kappa: 0.7944, kb_relative_information_score: 23497.8379, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9227, predictive_accuracy: 0.9209, prior_entropy: 0.863, recall: 0.9209, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.5212, scimark_benchmark: 1268.3202, usercpu_time_millis: 1862.152, usercpu_time_millis_testing: 35.311, usercpu_time_millis_training: 1826.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9342, kappa: 0.8364, kb_relative_information_score: 24576.4571, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9352, prior_entropy: 0.863, recall: 0.9352, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4929, scimark_benchmark: 1294.0952, usercpu_time_millis: 1696.835, usercpu_time_millis_testing: 53.497, usercpu_time_millis_training: 1643.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9645, kappa: 0.913, kb_relative_information_score: 29143.9678, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3673, scimark_benchmark: 1307.7132, usercpu_time_millis: 3501.824, usercpu_time_millis_testing: 48.875, usercpu_time_millis_training: 3452.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9595, kappa: 0.9006, kb_relative_information_score: 28411.7538, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3931, scimark_benchmark: 1295.7667, usercpu_time_millis: 932.208, usercpu_time_millis_testing: 13.303, usercpu_time_millis_training: 918.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9683, kappa: 0.9223, kb_relative_information_score: 29859.5531, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3493, scimark_benchmark: 1278.0971, usercpu_time_millis: 304.317, usercpu_time_millis_testing: 6.549, usercpu_time_millis_training: 297.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9556, kappa: 0.8907, kb_relative_information_score: 27087.2028, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4162, scimark_benchmark: 1285.4603, usercpu_time_millis: 490.158, usercpu_time_millis_testing: 29.339, usercpu_time_millis_training: 460.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9651, kappa: 0.9143, kb_relative_information_score: 29089.6928, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3642, scimark_benchmark: 1264.8386, usercpu_time_millis: 2264.61, usercpu_time_millis_testing: 60.774, usercpu_time_millis_training: 2203.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9333, kappa: 0.8344, kb_relative_information_score: 25191.762, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4927, scimark_benchmark: 1288.9291, usercpu_time_millis: 3960.349, usercpu_time_millis_testing: 65.851, usercpu_time_millis_training: 3894.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9386, kappa: 0.8482, kb_relative_information_score: 25863.9999, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9386, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4709, scimark_benchmark: 1310.8811, usercpu_time_millis: 5116.609, usercpu_time_millis_testing: 66.552, usercpu_time_millis_training: 5050.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9595, kappa: 0.9003, kb_relative_information_score: 27619.2497, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.398, scimark_benchmark: 1281.7558, usercpu_time_millis: 806.162, usercpu_time_millis_testing: 52.188, usercpu_time_millis_training: 753.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9561, kappa: 0.8923, kb_relative_information_score: 27999.2102, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.4078, scimark_benchmark: 1311.4116, usercpu_time_millis: 2780.655, usercpu_time_millis_testing: 36.649, usercpu_time_millis_training: 2744.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9627, kappa: 0.9083, kb_relative_information_score: 28425.8019, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3802, scimark_benchmark: 1288.0144, usercpu_time_millis: 645.581, usercpu_time_millis_testing: 26.827, usercpu_time_millis_training: 618.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9601, kappa: 0.9015, kb_relative_information_score: 26195.966, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4179, scimark_benchmark: 1273.4763, usercpu_time_millis: 144.671, usercpu_time_millis_testing: 9.942, usercpu_time_millis_training: 134.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9339, kappa: 0.8357, kb_relative_information_score: 24541.5958, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9349, prior_entropy: 0.863, recall: 0.9349, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4937, scimark_benchmark: 1308.1862, usercpu_time_millis: 1493.467, usercpu_time_millis_testing: 29.571, usercpu_time_millis_training: 1463.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9674, kappa: 0.9199, kb_relative_information_score: 29423.5496, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.159, root_relative_squared_error: 0.352, scimark_benchmark: 1280.5155, usercpu_time_millis: 213.793, usercpu_time_millis_testing: 8.363, usercpu_time_millis_training: 205.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9611, kappa: 0.9044, kb_relative_information_score: 28566.235, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3867, scimark_benchmark: 1297.0908, usercpu_time_millis: 3818.984, usercpu_time_millis_testing: 86.841, usercpu_time_millis_training: 3732.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9439, kappa: 0.8614, kb_relative_information_score: 26089.0125, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9439, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.2584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4568, scimark_benchmark: 1301.7956, usercpu_time_millis: 2168.378, usercpu_time_millis_testing: 70.483, usercpu_time_millis_training: 2097.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29441.223, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3523, scimark_benchmark: 1279.4779, usercpu_time_millis: 1190.099, usercpu_time_millis_testing: 29.378, usercpu_time_millis_training: 1160.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9312, kappa: 0.8287, kb_relative_information_score: 22814.2349, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9324, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5183, scimark_benchmark: 1289.95, usercpu_time_millis: 432.665, usercpu_time_millis_testing: 20.93, usercpu_time_millis_training: 411.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9243, kappa: 0.8107, kb_relative_information_score: 24362.4594, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.927, predictive_accuracy: 0.9263, prior_entropy: 0.863, recall: 0.9263, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.5057, scimark_benchmark: 1311.8506, usercpu_time_millis: 4974.78, usercpu_time_millis_testing: 61.395, usercpu_time_millis_training: 4913.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9586, kappa: 0.8982, kb_relative_information_score: 27990.2451, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4014, scimark_benchmark: 1292.638, usercpu_time_millis: 4895.149, usercpu_time_millis_testing: 95.531, usercpu_time_millis_training: 4799.618,

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