Task
Supervised Classification on fri_c2_100_50

Supervised Classification on fri_c2_100_50

Task 3785 Supervised Classification fri_c2_100_50 554 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: 0.8071, f_measure: 0.8394, kappa: 0.6694, kb_relative_information_score: 58.8692, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8395, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7877, kappa: 0.5618, kb_relative_information_score: 45.4061, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7895, predictive_accuracy: 0.79, prior_entropy: 0.9822, recall: 0.79, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7504, kappa: 0.4885, kb_relative_information_score: 44.1823, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7509, predictive_accuracy: 0.75, prior_entropy: 0.9822, recall: 0.75, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.6847, kappa: 0.3487, kb_relative_information_score: 30.1068, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6865, predictive_accuracy: 0.69, prior_entropy: 0.9822, recall: 0.69, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8881, kappa: 0.7689, kb_relative_information_score: 60.8427, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8957, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.6683, kappa: 0.3162, kb_relative_information_score: 23.2224, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6777, predictive_accuracy: 0.68, prior_entropy: 0.9822, recall: 0.68, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5304, root_relative_squared_error: 1.0746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.8297, kappa: 0.6499, kb_relative_information_score: 64.7552, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8296, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.5893, kappa: 0.1557, kb_relative_information_score: 15.3391, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.5887, predictive_accuracy: 0.59, prior_entropy: 0.9822, recall: 0.59, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6129, root_relative_squared_error: 1.2418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9398, kappa: 0.876, kb_relative_information_score: 76.351, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.9403, predictive_accuracy: 0.94, prior_entropy: 0.9822, recall: 0.94, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.7903, kappa: 0.5704, kb_relative_information_score: 57.4116, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7908, predictive_accuracy: 0.79, prior_entropy: 0.9822, recall: 0.79, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.8904, kappa: 0.7764, kb_relative_information_score: 57.984, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8925, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.5829, kappa: 0.1593, kb_relative_information_score: 19.7097, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6145, predictive_accuracy: 0.62, prior_entropy: 0.9822, recall: 0.62, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.8806, kappa: 0.7569, kb_relative_information_score: 58.4299, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.884, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7311, kappa: 0.4512, kb_relative_information_score: 32.9128, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7335, predictive_accuracy: 0.73, prior_entropy: 0.9822, recall: 0.73, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8881, kappa: 0.7689, kb_relative_information_score: 63.6391, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8957, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.84, kappa: 0.6716, kb_relative_information_score: 47.8389, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4672, f_measure: 0.4258, kb_relative_information_score: -0.1303, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8904, kappa: 0.7764, kb_relative_information_score: 68.088, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8925, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7782, kappa: 0.5424, kb_relative_information_score: 44.3269, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7789, predictive_accuracy: 0.78, prior_entropy: 0.9822, recall: 0.78, relative_absolute_error: 0.5682, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9398, kappa: 0.876, kb_relative_information_score: 75.8985, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.9403, predictive_accuracy: 0.94, prior_entropy: 0.9822, recall: 0.94, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.8707, kappa: 0.7375, kb_relative_information_score: 58.5103, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8758, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.82, kappa: 0.6305, kb_relative_information_score: 59.6752, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9822, recall: 0.82, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7504, kappa: 0.4885, kb_relative_information_score: 44.4986, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7509, predictive_accuracy: 0.75, prior_entropy: 0.9822, recall: 0.75, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.6019, kappa: 0.1896, kb_relative_information_score: 19.2736, mean_absolute_error: 0.3877, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6058, predictive_accuracy: 0.6, prior_entropy: 0.9822, recall: 0.6, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8904, kappa: 0.7764, kb_relative_information_score: 77.1253, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8925, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7782, kappa: 0.5424, kb_relative_information_score: 45.3325, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7789, predictive_accuracy: 0.78, prior_entropy: 0.9822, recall: 0.78, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7, kappa: 0.3842, kb_relative_information_score: 38.1801, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9822, recall: 0.7, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8904, kappa: 0.7764, kb_relative_information_score: 77.1253, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8925, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8698, kappa: 0.7323, kb_relative_information_score: 37.5603, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8697, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.82, kappa: 0.6305, kb_relative_information_score: 59.6752, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9822, recall: 0.82, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8309, kappa: 0.6567, kb_relative_information_score: 64.688, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.836, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7504, kappa: 0.4885, kb_relative_information_score: 44.4986, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7509, predictive_accuracy: 0.75, prior_entropy: 0.9822, recall: 0.75, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7612, kappa: 0.5138, kb_relative_information_score: 24.3285, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7648, predictive_accuracy: 0.76, prior_entropy: 0.9822, recall: 0.76, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7315, kappa: 0.4548, kb_relative_information_score: 28.5148, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7366, predictive_accuracy: 0.73, prior_entropy: 0.9822, recall: 0.73, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8702, kappa: 0.734, kb_relative_information_score: 72.9796, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8706, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.4211, kappa: -0.0199, kb_relative_information_score: 10.7929, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3339, predictive_accuracy: 0.57, prior_entropy: 0.9822, recall: 0.57, relative_absolute_error: 0.8821, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3286, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.6019, kappa: 0.1896, kb_relative_information_score: 17.0116, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6058, predictive_accuracy: 0.6, prior_entropy: 0.9822, recall: 0.6, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2814, scimark_benchmark: 1280.301, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.719, kappa: 0.4215, kb_relative_information_score: 41.8863, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7185, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0721, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.7208, kappa: 0.429, kb_relative_information_score: 41.8863, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7222, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0721, scimark_benchmark: 1461.2356, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.56, kappa: 0.0969, kb_relative_information_score: 8.0838, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 0.9822, recall: 0.56, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.632, root_relative_squared_error: 1.2804, scimark_benchmark: 1787.9841, usercpu_time_millis: 812.5, usercpu_time_millis_training: 812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.56, kappa: 0.0969, kb_relative_information_score: 8.0838, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 0.9822, recall: 0.56, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.632, root_relative_squared_error: 1.2804, scimark_benchmark: 1330.6895, usercpu_time_millis: 1030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.7208, kappa: 0.429, kb_relative_information_score: 41.8863, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7222, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0721, scimark_benchmark: 1368.7918, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.719, kappa: 0.4215, kb_relative_information_score: 41.8863, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7185, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0721, scimark_benchmark: 1365.284, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.4211, kappa: -0.0199, kb_relative_information_score: 10.7929, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3339, predictive_accuracy: 0.57, prior_entropy: 0.9822, recall: 0.57, relative_absolute_error: 0.8821, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3286, scimark_benchmark: 1374.8525, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.88, kappa: 0.7537, kb_relative_information_score: 63.804, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6535, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.8205, kappa: 0.633, kb_relative_information_score: 39.9876, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9822, recall: 0.82, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8035, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8904, kappa: 0.7764, kb_relative_information_score: 77.1253, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8925, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.672, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.6505, kappa: 0.284, kb_relative_information_score: 27.376, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6512, predictive_accuracy: 0.65, prior_entropy: 0.9822, recall: 0.65, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1987, scimark_benchmark: 1313.3798, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.5214, kappa: 0.0212, kb_relative_information_score: 0.5264, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.5231, predictive_accuracy: 0.52, prior_entropy: 0.9822, recall: 0.52, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6918, root_relative_squared_error: 1.4016, scimark_benchmark: 1065.5059, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8902, kappa: 0.775, kb_relative_information_score: 65.4239, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8905, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6251, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8609, kappa: 0.72, kb_relative_information_score: 73.3541, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8728, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6302, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.5675, kappa: 0.1692, kb_relative_information_score: 10.6796, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6081, predictive_accuracy: 0.57, prior_entropy: 0.9822, recall: 0.57, relative_absolute_error: 0.8837, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.568, root_relative_squared_error: 1.1508, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.6773, kappa: 0.3344, kb_relative_information_score: 13.1402, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6769, predictive_accuracy: 0.68, prior_entropy: 0.9822, recall: 0.68, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9535, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8996, kappa: 0.7934, kb_relative_information_score: 69.4062, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9822, recall: 0.9, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6194, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.6564, kappa: 0.2925, kb_relative_information_score: 19.7292, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6673, predictive_accuracy: 0.67, prior_entropy: 0.9822, recall: 0.67, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9644, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5497, f_measure: 0.5529, kappa: 0.0971, kb_relative_information_score: 6.6472, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.5611, predictive_accuracy: 0.55, prior_entropy: 0.9822, recall: 0.55, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3591, usercpu_time_millis: 0.265, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.8297, kappa: 0.6499, kb_relative_information_score: 64.688, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8296, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8354, usercpu_time_millis: 9.419, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 8.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8803, kappa: 0.7553, kb_relative_information_score: 75.0525, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8814, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.7019, usercpu_time_millis: 0.862, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8902, kappa: 0.775, kb_relative_information_score: 77.1253, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8905, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.672, usercpu_time_millis: 6.41, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 5.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8803, kappa: 0.7553, kb_relative_information_score: 75.0525, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8814, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.7019, usercpu_time_millis: 1.427, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 1.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5319, kappa: 0.0447, kb_relative_information_score: 2.5014, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.5347, predictive_accuracy: 0.53, prior_entropy: 0.9822, recall: 0.53, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.389, usercpu_time_millis: 0.401, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.6617, kappa: 0.3112, kb_relative_information_score: 29.4489, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6654, predictive_accuracy: 0.66, prior_entropy: 0.9822, recall: 0.66, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1814, usercpu_time_millis: 0.136, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.115,

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