OpenML
Supervised Classification on OVA_Omentum

Supervised Classification on OVA_Omentum

Task 3973 Supervised Classification OVA_Omentum 188 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.9401, kappa: 0.2864, kb_relative_information_score: -741.0138, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9359, predictive_accuracy: 0.9482, prior_entropy: 0.2882, recall: 0.9482, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.9471, kappa: 0.4167, kb_relative_information_score: -135.9975, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9452, predictive_accuracy: 0.9495, prior_entropy: 0.2882, recall: 0.9495, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, kb_relative_information_score: -478.6297, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.9523, kappa: 0.4468, kb_relative_information_score: 145.147, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9505, predictive_accuracy: 0.9573, prior_entropy: 0.2882, recall: 0.9573, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.9441, kappa: 0.3732, kb_relative_information_score: 299.4131, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9414, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.229, root_relative_squared_error: 1.0522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.9399, kappa: 0.3203, kb_relative_information_score: 214.9679, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9366, predictive_accuracy: 0.9443, prior_entropy: 0.2882, recall: 0.9443, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2356, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.9259, kb_relative_information_score: 13.1897, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.9372, kappa: 0.2076, kb_relative_information_score: -1345.8742, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9351, predictive_accuracy: 0.9508, prior_entropy: 0.2882, recall: 0.9508, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.9441, kappa: 0.42, kb_relative_information_score: 192.9117, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9451, predictive_accuracy: 0.943, prior_entropy: 0.2882, recall: 0.943, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2387, root_relative_squared_error: 1.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.9438, kappa: 0.3137, kb_relative_information_score: 436.3433, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9421, predictive_accuracy: 0.9534, prior_entropy: 0.2882, recall: 0.9534, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.9259, kb_relative_information_score: -501.7328, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 1.0357, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2177, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.9259, kb_relative_information_score: 373.6668, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.218, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.9413, kappa: 0.3819, kb_relative_information_score: 135.1371, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9415, predictive_accuracy: 0.9411, prior_entropy: 0.2882, recall: 0.9411, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2387, root_relative_squared_error: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.9147, kappa: 0.3912, kb_relative_information_score: -1024.2462, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9562, predictive_accuracy: 0.8913, prior_entropy: 0.2882, recall: 0.8913, relative_absolute_error: 1.1418, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3298, root_relative_squared_error: 1.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.9452, kappa: 0.3166, kb_relative_information_score: 517.987, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9465, predictive_accuracy: 0.956, prior_entropy: 0.2882, recall: 0.956, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.203, root_relative_squared_error: 0.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.9259, kb_relative_information_score: 30.5769, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.9259, kb_relative_information_score: 15.0699, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.9418, kappa: 0.3454, kb_relative_information_score: 166.5525, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9388, predictive_accuracy: 0.9456, prior_entropy: 0.2882, recall: 0.9456, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2229, root_relative_squared_error: 1.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6113, f_measure: 0.9418, kappa: 0.3393, kb_relative_information_score: 240.0592, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9385, predictive_accuracy: 0.9463, prior_entropy: 0.2882, recall: 0.9463, relative_absolute_error: 0.578, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2299, root_relative_squared_error: 1.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9319, kappa: 0.107, kb_relative_information_score: -329.1163, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9333, predictive_accuracy: 0.9508, prior_entropy: 0.2882, recall: 0.9508, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.9259, kb_relative_information_score: -532.4648, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.8893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9259, kb_relative_information_score: 360.271, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2232, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.9259, kb_relative_information_score: -562.85, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5482, f_measure: 0.9422, kappa: 0.3486, kb_relative_information_score: 226.2888, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9392, predictive_accuracy: 0.9463, prior_entropy: 0.2882, recall: 0.9463, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2297, root_relative_squared_error: 1.0553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.9093, kappa: 0.3747, kb_relative_information_score: -1234.7173, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9561, predictive_accuracy: 0.8828, prior_entropy: 0.2882, recall: 0.8828, relative_absolute_error: 1.2287, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.3407, root_relative_squared_error: 1.5656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.9436, kappa: 0.3643, kb_relative_information_score: 294.4401, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9408, predictive_accuracy: 0.9476, prior_entropy: 0.2882, recall: 0.9476, relative_absolute_error: 0.5573, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.0514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0047, kb_relative_information_score: -15976.2045, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.0025, predictive_accuracy: 0.0498, prior_entropy: 0.2882, recall: 0.0498, relative_absolute_error: 5.2503, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.5, root_relative_squared_error: 2.2977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0047, kb_relative_information_score: -15976.2045, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.0025, predictive_accuracy: 0.0498, prior_entropy: 0.2882, recall: 0.0498, relative_absolute_error: 5.2503, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.5, root_relative_squared_error: 2.2977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.9308, kappa: 0.4208, kb_relative_information_score: -564.6678, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9514, predictive_accuracy: 0.9178, prior_entropy: 0.2882, recall: 0.9178, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2645, root_relative_squared_error: 1.2153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.9532, kappa: 0.4281, kb_relative_information_score: -115.416, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9555, predictive_accuracy: 0.9612, prior_entropy: 0.2882, recall: 0.9612, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.177, root_relative_squared_error: 0.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.9374, kappa: 0.2763, kb_relative_information_score: 96.762, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9331, predictive_accuracy: 0.9437, prior_entropy: 0.2882, recall: 0.9437, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2229, root_relative_squared_error: 1.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.9318, kappa: 0.1635, kb_relative_information_score: 229.481, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9248, predictive_accuracy: 0.9437, prior_entropy: 0.2882, recall: 0.9437, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2325, root_relative_squared_error: 1.0685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.943, kappa: 0.3769, kb_relative_information_score: -396.3193, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9412, predictive_accuracy: 0.945, prior_entropy: 0.2882, recall: 0.945, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.9492, kappa: 0.4271, kb_relative_information_score: 69.4284, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9469, predictive_accuracy: 0.9528, prior_entropy: 0.2882, recall: 0.9528, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.8943, kappa: 0.0915, kb_relative_information_score: -4071.7552, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9151, predictive_accuracy: 0.8764, prior_entropy: 0.2882, recall: 0.8764, relative_absolute_error: 1.6964, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2666, root_relative_squared_error: 1.2253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0047, kb_relative_information_score: -20803.0635, mean_absolute_error: 0.9502, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.0025, predictive_accuracy: 0.0498, prior_entropy: 0.2882, recall: 0.0498, relative_absolute_error: 9.9773, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.9748, root_relative_squared_error: 4.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9259, kb_relative_information_score: 360.271, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2232, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.9259, kb_relative_information_score: 292.9178, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2213, root_relative_squared_error: 1.0169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.9405, kappa: 0.2662, kb_relative_information_score: 354.0188, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.938, predictive_accuracy: 0.9515, prior_entropy: 0.2882, recall: 0.9515, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.9373, kappa: 0.2443, kb_relative_information_score: -803.6158, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9325, predictive_accuracy: 0.9469, prior_entropy: 0.2882, recall: 0.9469, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.9311, kappa: 0.223, kb_relative_information_score: -19.8562, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.927, predictive_accuracy: 0.9359, prior_entropy: 0.2882, recall: 0.9359, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2478, root_relative_squared_error: 1.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9315, kappa: 0.1047, kb_relative_information_score: -356.0135, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9305, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9298, kappa: 0.0675, kb_relative_information_score: -357.4541, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9344, predictive_accuracy: 0.9508, prior_entropy: 0.2882, recall: 0.9508, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.8391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.9319, kappa: 0.107, kb_relative_information_score: -406.8857, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9333, predictive_accuracy: 0.9508, prior_entropy: 0.2882, recall: 0.9508, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.9252, kappa: -0.0025, kb_relative_information_score: -748.5904, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9027, predictive_accuracy: 0.9489, prior_entropy: 0.2882, recall: 0.9489, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.191, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.9276, kappa: 0.0413, kb_relative_information_score: -408.2534, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9205, predictive_accuracy: 0.9489, prior_entropy: 0.2882, recall: 0.9489, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.9252, kappa: -0.0025, kb_relative_information_score: -425.3847, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9027, predictive_accuracy: 0.9489, prior_entropy: 0.2882, recall: 0.9489, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.852,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.9275, kappa: 0.0244, kb_relative_information_score: -476.5113, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9532, predictive_accuracy: 0.9508, prior_entropy: 0.2882, recall: 0.9508, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.868,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.944, kappa: 0.3784, kb_relative_information_score: -281.3208, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9417, predictive_accuracy: 0.9469, prior_entropy: 0.2882, recall: 0.9469, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.9081,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: 4.256, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: 4.256, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: 4.256, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9475, kappa: 0.3873, kb_relative_information_score: 53.4834, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9449, predictive_accuracy: 0.9534, prior_entropy: 0.2882, recall: 0.9534, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.9187,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.9357, kappa: 0.353, kb_relative_information_score: -566.4146, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9391, predictive_accuracy: 0.9327, prior_entropy: 0.2882, recall: 0.9327, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2224, root_relative_squared_error: 1.0222,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.9259, kb_relative_information_score: -329.3544, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.207, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.9259, kb_relative_information_score: -509.7448, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.9259, kb_relative_information_score: -15700.3388, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 5.0679, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.4828, root_relative_squared_error: 2.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.9393, kappa: 0.2316, kb_relative_information_score: -479.3363, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9396, predictive_accuracy: 0.9528, prior_entropy: 0.2882, recall: 0.9528, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.9415, kappa: 0.273, kb_relative_information_score: -726.0309, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9401, predictive_accuracy: 0.9528, prior_entropy: 0.2882, recall: 0.9528, relative_absolute_error: 0.7228, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.9532, kappa: 0.4281, kb_relative_information_score: -115.416, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9555, predictive_accuracy: 0.9612, prior_entropy: 0.2882, recall: 0.9612, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.177, root_relative_squared_error: 0.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.9454, kappa: 0.3936, kb_relative_information_score: -152.6212, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9431, predictive_accuracy: 0.9482, prior_entropy: 0.2882, recall: 0.9482, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.9476, kappa: 0.3756, kb_relative_information_score: 19.4731, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9455, predictive_accuracy: 0.9547, prior_entropy: 0.2882, recall: 0.9547, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9259, kb_relative_information_score: -5.2768, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9502, prior_entropy: 0.2882, recall: 0.9502, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.2176, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.95, kappa: 0.4123, kb_relative_information_score: 195.0079, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.0952, number_of_instances: 1545, precision: 0.948, predictive_accuracy: 0.956, prior_entropy: 0.2882, recall: 0.956, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.2176, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.8994,

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

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From your own software

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

OpenML APIs