OpenML
Supervised Classification on rmftsa_sleepdata

Supervised Classification on rmftsa_sleepdata

Task 3607 Supervised Classification rmftsa_sleepdata 541 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.6976, kappa: 0.3962, kb_relative_information_score: 289.0404, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6995, predictive_accuracy: 0.6982, prior_entropy: 1, recall: 0.6982, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8911, scimark_benchmark: 1838.8826, usercpu_time_millis: 93.6006, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7051, kappa: 0.4102, kb_relative_information_score: 353.1689, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7052, predictive_accuracy: 0.7051, prior_entropy: 1, recall: 0.7051, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8943, scimark_benchmark: 1838.8826, usercpu_time_millis: 109.2007, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.6941, kappa: 0.3885, kb_relative_information_score: 290.3236, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6946, predictive_accuracy: 0.6943, prior_entropy: 1, recall: 0.6943, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.8925, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.6855, kappa: 0.3735, kb_relative_information_score: 350.2285, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6894, predictive_accuracy: 0.6865, prior_entropy: 1, recall: 0.6865, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9234, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.6666, kappa: 0.3468, kb_relative_information_score: 218.2984, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.688, predictive_accuracy: 0.6729, prior_entropy: 1, recall: 0.6729, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9143, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6855, kappa: 0.3777, kb_relative_information_score: 245.1508, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6968, predictive_accuracy: 0.6885, prior_entropy: 1, recall: 0.6885, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9121, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.3366, kb_relative_information_score: -0.0069, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.2529, predictive_accuracy: 0.5029, prior_entropy: 1, recall: 0.5029, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7266, kappa: 0.4531, kb_relative_information_score: 463.9723, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7266, predictive_accuracy: 0.7266, prior_entropy: 1, recall: 0.7266, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5229, root_relative_squared_error: 1.0458, usercpu_time_millis: 352.337, usercpu_time_millis_testing: 4.813, usercpu_time_millis_training: 347.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.6706, kappa: 0.3505, kb_relative_information_score: 357.967, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6852, predictive_accuracy: 0.6748, prior_entropy: 1, recall: 0.6748, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5703, root_relative_squared_error: 1.1405, usercpu_time_millis: 50.341, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 50.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7051, kappa: 0.4102, kb_relative_information_score: 419.9701, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7052, predictive_accuracy: 0.7051, prior_entropy: 1, recall: 0.7051, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0862, usercpu_time_millis: 48.253, usercpu_time_millis_testing: 11.871, usercpu_time_millis_training: 36.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.7226, kappa: 0.4453, kb_relative_information_score: 455.9719, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7227, predictive_accuracy: 0.7227, prior_entropy: 1, recall: 0.7227, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0533, usercpu_time_millis: 7.147, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 6.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.745, kappa: 0.4901, kb_relative_information_score: 501.9741, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7453, predictive_accuracy: 0.7451, prior_entropy: 1, recall: 0.7451, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0097, usercpu_time_millis: 1.469, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 1.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.7315, kappa: 0.4645, kb_relative_information_score: 475.9729, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7351, predictive_accuracy: 0.7324, prior_entropy: 1, recall: 0.7324, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5173, root_relative_squared_error: 1.0346, usercpu_time_millis: 2.855, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 2.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7281, kappa: 0.4568, kb_relative_information_score: 467.9725, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7295, predictive_accuracy: 0.7285, prior_entropy: 1, recall: 0.7285, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.521, root_relative_squared_error: 1.0421, usercpu_time_millis: 2.965, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 2.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.7411, kappa: 0.4823, kb_relative_information_score: 493.9738, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7414, predictive_accuracy: 0.7412, prior_entropy: 1, recall: 0.7412, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0174, usercpu_time_millis: 0.171, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.691, kappa: 0.3852, kb_relative_information_score: 393.9688, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6964, predictive_accuracy: 0.6924, prior_entropy: 1, recall: 0.6924, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1093, usercpu_time_millis: 17.8, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 17.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.7451, kappa: 0.4903, kb_relative_information_score: 501.9741, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7454, predictive_accuracy: 0.7451, prior_entropy: 1, recall: 0.7451, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0097, usercpu_time_millis: 107.775, usercpu_time_millis_testing: 8.822, usercpu_time_millis_training: 98.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.6858, kappa: 0.3755, kb_relative_information_score: 383.9683, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6922, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1181, usercpu_time_millis: 0.603, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7292, kappa: 0.4588, kb_relative_information_score: 469.9726, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7301, predictive_accuracy: 0.7295, prior_entropy: 1, recall: 0.7295, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0402, usercpu_time_millis: 4.323, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 4.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.7475, kappa: 0.4964, kb_relative_information_score: 507.9744, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7506, predictive_accuracy: 0.748, prior_entropy: 1, recall: 0.748, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0039, usercpu_time_millis: 1.9, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 1.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.6592, kappa: 0.3229, kb_relative_information_score: 329.9657, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6656, predictive_accuracy: 0.6611, prior_entropy: 1, recall: 0.6611, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5821, root_relative_squared_error: 1.1643, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.7392, kappa: 0.4784, kb_relative_information_score: 489.9736, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7395, predictive_accuracy: 0.7393, prior_entropy: 1, recall: 0.7393, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.0213, usercpu_time_millis: 179.069, usercpu_time_millis_testing: 12.17, usercpu_time_millis_training: 166.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7171, kappa: 0.437, kb_relative_information_score: 447.9715, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7234, predictive_accuracy: 0.7188, prior_entropy: 1, recall: 0.7188, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.0607, usercpu_time_millis: 28.857, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 28.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6999, kappa: 0.4002, kb_relative_information_score: 409.9696, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7008, predictive_accuracy: 0.7002, prior_entropy: 1, recall: 0.7002, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5475, root_relative_squared_error: 1.0951, usercpu_time_millis: 1.413, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.6671, kappa: 0.3447, kb_relative_information_score: 351.9667, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6834, predictive_accuracy: 0.6719, prior_entropy: 1, recall: 0.6719, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.1457, usercpu_time_millis: 1.979, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 1.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.4506, kappa: 0.0873, kb_relative_information_score: 93.954, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6406, predictive_accuracy: 0.5459, prior_entropy: 1, recall: 0.5459, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6739, root_relative_squared_error: 1.3478, usercpu_time_millis: 0.281, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.691, kappa: 0.3852, kb_relative_information_score: 393.9688, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6964, predictive_accuracy: 0.6924, prior_entropy: 1, recall: 0.6924, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1093, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.6864, kappa: 0.3796, kb_relative_information_score: 387.9685, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.698, predictive_accuracy: 0.6895, prior_entropy: 1, recall: 0.6895, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1146, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 0.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.691, kappa: 0.3852, kb_relative_information_score: 393.9688, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6964, predictive_accuracy: 0.6924, prior_entropy: 1, recall: 0.6924, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1093, usercpu_time_millis: 0.579, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.6853, kappa: 0.3756, kb_relative_information_score: 383.9683, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6935, predictive_accuracy: 0.6875, prior_entropy: 1, recall: 0.6875, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1181, usercpu_time_millis: 0.154, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.7084, kappa: 0.4183, kb_relative_information_score: 427.9705, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.711, predictive_accuracy: 0.709, prior_entropy: 1, recall: 0.709, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.0789, usercpu_time_millis: 0.184, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.746, kappa: 0.4921, kb_relative_information_score: 503.9742, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7463, predictive_accuracy: 0.7461, prior_entropy: 1, recall: 0.7461, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0078, usercpu_time_millis: 0.925, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.7294, kappa: 0.4589, kb_relative_information_score: 469.9726, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7297, predictive_accuracy: 0.7295, prior_entropy: 1, recall: 0.7295, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0402, usercpu_time_millis: 2.114, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 1.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7438, kappa: 0.4885, kb_relative_information_score: 499.974, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7456, predictive_accuracy: 0.7441, prior_entropy: 1, recall: 0.7441, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5058, root_relative_squared_error: 1.0117, usercpu_time_millis: 2.217, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 1.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.6887, kappa: 0.3814, kb_relative_information_score: 389.9686, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6954, predictive_accuracy: 0.6904, prior_entropy: 1, recall: 0.6904, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5564, root_relative_squared_error: 1.1128, usercpu_time_millis: 0.545, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.6918, kappa: 0.3872, kb_relative_information_score: 395.9689, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.698, predictive_accuracy: 0.6934, prior_entropy: 1, recall: 0.6934, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5538, root_relative_squared_error: 1.1075, usercpu_time_millis: 2.199, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 2.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.6855, kappa: 0.3735, kb_relative_information_score: 381.9682, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6894, predictive_accuracy: 0.6865, prior_entropy: 1, recall: 0.6865, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1198, usercpu_time_millis: 2.476, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 1.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.7428, kappa: 0.4861, kb_relative_information_score: 497.9739, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7441, predictive_accuracy: 0.7432, prior_entropy: 1, recall: 0.7432, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5068, root_relative_squared_error: 1.0136, usercpu_time_millis: 0.726, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.656,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.751, kappa: 0.5019, kb_relative_information_score: 344.1023, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.751, predictive_accuracy: 0.751, prior_entropy: 1, recall: 0.751, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8402, scimark_benchmark: 944.0133, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7291, kappa: 0.4587, kb_relative_information_score: 469.9726, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7295, prior_entropy: 1, recall: 0.7295, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0402, scimark_benchmark: 930.404, usercpu_time_millis: 230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7291, kappa: 0.4587, kb_relative_information_score: 469.9726, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7295, prior_entropy: 1, recall: 0.7295, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0402, scimark_benchmark: 934.5964, usercpu_time_millis: 230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7314, kappa: 0.4628, kb_relative_information_score: 340.2488, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7315, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8472, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6889, kappa: 0.3792, kb_relative_information_score: 265.0587, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6913, predictive_accuracy: 0.6895, prior_entropy: 1, recall: 0.6895, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8724, scimark_benchmark: 903.2737, usercpu_time_millis: 4790, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 4690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.7295, kappa: 0.4624, kb_relative_information_score: 292.8798, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7374, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7051, kappa: 0.4102, kb_relative_information_score: 353.1689, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7052, predictive_accuracy: 0.7051, prior_entropy: 1, recall: 0.7051, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8943, scimark_benchmark: 936.3213, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.75, kappa: 0.5001, kb_relative_information_score: 323.5806, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7503, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8463, scimark_benchmark: 901.6243, usercpu_time_millis: 1390, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.749, kappa: 0.4981, kb_relative_information_score: 322.3343, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7494, predictive_accuracy: 0.749, prior_entropy: 1, recall: 0.749, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.847, scimark_benchmark: 939.8002, usercpu_time_millis: 770, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.747, kappa: 0.4942, kb_relative_information_score: 324.172, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7474, predictive_accuracy: 0.7471, prior_entropy: 1, recall: 0.7471, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.423, root_relative_squared_error: 0.846, scimark_benchmark: 921.2615, usercpu_time_millis: 390, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.747, kappa: 0.4942, kb_relative_information_score: 323.5395, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7473, predictive_accuracy: 0.7471, prior_entropy: 1, recall: 0.7471, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8469, scimark_benchmark: 928.7131, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.75, kappa: 0.5001, kb_relative_information_score: 324.0148, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7503, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8465, scimark_benchmark: 889.4922, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7161, kappa: 0.4387, kb_relative_information_score: 300.2117, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7197, prior_entropy: 1, recall: 0.7197, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8838, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7161, kappa: 0.4387, kb_relative_information_score: 300.2117, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7197, prior_entropy: 1, recall: 0.7197, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8838, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7161, kappa: 0.4387, kb_relative_information_score: 300.2117, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7197, prior_entropy: 1, recall: 0.7197, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8838, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7161, kappa: 0.4387, kb_relative_information_score: 300.2117, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7197, prior_entropy: 1, recall: 0.7197, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8838, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7161, kappa: 0.4387, kb_relative_information_score: 300.2117, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7306, predictive_accuracy: 0.7197, prior_entropy: 1, recall: 0.7197, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8838, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.3366, kb_relative_information_score: -0.0069, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.2529, predictive_accuracy: 0.5029, prior_entropy: 1, recall: 0.5029, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7118, kappa: 0.429, kb_relative_information_score: 431.5973, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7234, predictive_accuracy: 0.7148, prior_entropy: 1, recall: 0.7148, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0028, scimark_benchmark: 926.5859, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,

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