Task
Supervised Classification on chscase_funds

Supervised Classification on chscase_funds

Task 3666 Supervised Classification chscase_funds 511 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6156, kappa: 0.263, kb_relative_information_score: 28.8279, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6745, predictive_accuracy: 0.6432, prior_entropy: 0.9975, recall: 0.6432, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6362, kappa: 0.2814, kb_relative_information_score: 31.6822, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.658, predictive_accuracy: 0.6486, prior_entropy: 0.9975, recall: 0.6486, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6643, kappa: 0.3256, kb_relative_information_score: 54.624, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6643, predictive_accuracy: 0.6649, prior_entropy: 0.9975, recall: 0.6649, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5608, root_relative_squared_error: 1.1236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6397, f_measure: 0.6711, kappa: 0.3486, kb_relative_information_score: 40.0647, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6924, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6298, kappa: 0.2698, kb_relative_information_score: 32.2338, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6528, predictive_accuracy: 0.6432, prior_entropy: 0.9975, recall: 0.6432, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.625, kappa: 0.247, kb_relative_information_score: 33.9645, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.626, predictive_accuracy: 0.627, prior_entropy: 0.9975, recall: 0.627, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6574, kappa: 0.3416, kb_relative_information_score: 36.5663, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7229, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.6185, kappa: 0.2346, kb_relative_information_score: 41.0932, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6207, predictive_accuracy: 0.6216, prior_entropy: 0.9975, recall: 0.6216, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5821, root_relative_squared_error: 1.1663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.5988, kappa: 0.194, kb_relative_information_score: 38.856, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5989, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.5988, kappa: 0.194, kb_relative_information_score: 38.856, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5989, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6474, kappa: 0.3035, kb_relative_information_score: 32.3251, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6703, predictive_accuracy: 0.6595, prior_entropy: 0.9975, recall: 0.6595, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6474, kappa: 0.3035, kb_relative_information_score: 32.3251, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6703, predictive_accuracy: 0.6595, prior_entropy: 0.9975, recall: 0.6595, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.6465, kappa: 0.2957, kb_relative_information_score: 41.475, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6582, predictive_accuracy: 0.6541, prior_entropy: 0.9975, recall: 0.6541, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.6362, kappa: 0.2814, kb_relative_information_score: 53.2954, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.658, predictive_accuracy: 0.6486, prior_entropy: 0.9975, recall: 0.6486, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5668, root_relative_squared_error: 1.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.636, kappa: 0.3157, kb_relative_information_score: 39.2518, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7356, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.6498, kappa: 0.348, kb_relative_information_score: 11.0891, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7763, predictive_accuracy: 0.6865, prior_entropy: 0.9975, recall: 0.6865, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, f_measure: 0.3669, kb_relative_information_score: -0.0464, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6395, kappa: 0.2774, kb_relative_information_score: 45.0708, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6433, predictive_accuracy: 0.6432, prior_entropy: 0.9975, recall: 0.6432, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6395, kappa: 0.2774, kb_relative_information_score: 45.0708, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6433, predictive_accuracy: 0.6432, prior_entropy: 0.9975, recall: 0.6432, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6395, kappa: 0.2774, kb_relative_information_score: 45.0708, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6433, predictive_accuracy: 0.6432, prior_entropy: 0.9975, recall: 0.6432, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.6071, kappa: 0.2787, kb_relative_information_score: 34.7376, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7442, predictive_accuracy: 0.6541, prior_entropy: 0.9975, recall: 0.6541, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.6109, kappa: 0.2437, kb_relative_information_score: 48.3086, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6496, predictive_accuracy: 0.6324, prior_entropy: 0.9975, recall: 0.6324, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6063, root_relative_squared_error: 1.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.6071, kappa: 0.2787, kb_relative_information_score: 34.7376, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7442, predictive_accuracy: 0.6541, prior_entropy: 0.9975, recall: 0.6541, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, f_measure: 0.6346, kappa: 0.2804, kb_relative_information_score: 32.2789, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6601, predictive_accuracy: 0.6486, prior_entropy: 0.9975, recall: 0.6486, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.6109, kappa: 0.2437, kb_relative_information_score: 47.9032, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6496, predictive_accuracy: 0.6324, prior_entropy: 0.9975, recall: 0.6324, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6035, root_relative_squared_error: 1.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6474, kappa: 0.3035, kb_relative_information_score: 32.3251, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6703, predictive_accuracy: 0.6595, prior_entropy: 0.9975, recall: 0.6595, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, f_measure: 0.6133, kappa: 0.2534, kb_relative_information_score: 50.3186, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6613, predictive_accuracy: 0.6378, prior_entropy: 0.9975, recall: 0.6378, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6018, root_relative_squared_error: 1.2057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.6362, kappa: 0.2814, kb_relative_information_score: 31.6705, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.658, predictive_accuracy: 0.6486, prior_entropy: 0.9975, recall: 0.6486, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.6764, kappa: 0.3673, kb_relative_information_score: 46.8226, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7173, predictive_accuracy: 0.6919, prior_entropy: 0.9975, recall: 0.6919, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.6479, kappa: 0.3381, kb_relative_information_score: 15.2138, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7522, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.6109, kappa: 0.2437, kb_relative_information_score: 48.3086, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6496, predictive_accuracy: 0.6324, prior_entropy: 0.9975, recall: 0.6324, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6063, root_relative_squared_error: 1.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.6071, kappa: 0.2787, kb_relative_information_score: 34.7376, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7442, predictive_accuracy: 0.6541, prior_entropy: 0.9975, recall: 0.6541, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.4236, kappa: 0.0095, kb_relative_information_score: 2.0657, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.517, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.5948, kappa: 0.191, kb_relative_information_score: 35.8102, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5978, predictive_accuracy: 0.5946, prior_entropy: 0.9975, recall: 0.5946, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.545, root_relative_squared_error: 1.0919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.5841, kappa: 0.1684, kb_relative_information_score: 31.2209, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5861, predictive_accuracy: 0.5838, prior_entropy: 0.9975, recall: 0.5838, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.642, root_relative_squared_error: 1.2863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.4605, kappa: -0.0011, kb_relative_information_score: 6.0981, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5009, predictive_accuracy: 0.5189, prior_entropy: 0.9975, recall: 0.5189, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6936, root_relative_squared_error: 1.3897, scimark_benchmark: 1631.1992, usercpu_time_millis: 6609.375, usercpu_time_millis_training: 6609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3669, kb_relative_information_score: 10.1182, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6858, root_relative_squared_error: 1.374, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4694, f_measure: 0.3519, kappa: -0.0646, kb_relative_information_score: -1.9419, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2723, predictive_accuracy: 0.4973, prior_entropy: 0.9975, recall: 0.4973, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.709, root_relative_squared_error: 1.4205, scimark_benchmark: 1862.8608, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3669, kb_relative_information_score: 10.1182, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6858, root_relative_squared_error: 1.374, scimark_benchmark: 1646.0281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4694, f_measure: 0.3519, kappa: -0.0646, kb_relative_information_score: -1.9419, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2723, predictive_accuracy: 0.4973, prior_entropy: 0.9975, recall: 0.4973, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.709, root_relative_squared_error: 1.4205, scimark_benchmark: 1375.7025, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.4605, kappa: -0.0011, kb_relative_information_score: 6.0981, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5009, predictive_accuracy: 0.5189, prior_entropy: 0.9975, recall: 0.5189, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6936, root_relative_squared_error: 1.3897, scimark_benchmark: 1385.528, usercpu_time_millis: 3820, usercpu_time_millis_training: 3820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.6411, kappa: 0.3175, kb_relative_information_score: 39.355, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7204, predictive_accuracy: 0.6703, prior_entropy: 0.9975, recall: 0.6703, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9125, scimark_benchmark: 1908.2191, usercpu_time_millis: 359.375, usercpu_time_millis_training: 359.375,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.6839, kappa: 0.3658, kb_relative_information_score: 68.4088, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6872, predictive_accuracy: 0.6865, prior_entropy: 0.9975, recall: 0.6865, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1218, scimark_benchmark: 1827.4462, usercpu_time_millis: 5156.25, usercpu_time_millis_training: 5156.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.6313, kappa: 0.2708, kb_relative_information_score: 52.3286, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.651, predictive_accuracy: 0.6432, prior_entropy: 0.9975, recall: 0.6432, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5973, root_relative_squared_error: 1.1967, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.6313, kappa: 0.2708, kb_relative_information_score: 52.3286, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.651, predictive_accuracy: 0.6432, prior_entropy: 0.9975, recall: 0.6432, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5973, root_relative_squared_error: 1.1967, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6474, kappa: 0.3035, kb_relative_information_score: 32.3251, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6703, predictive_accuracy: 0.6595, prior_entropy: 0.9975, recall: 0.6595, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9184, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6474, kappa: 0.3035, kb_relative_information_score: 32.3251, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6703, predictive_accuracy: 0.6595, prior_entropy: 0.9975, recall: 0.6595, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9184, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6298, kappa: 0.2698, kb_relative_information_score: 32.2338, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6528, predictive_accuracy: 0.6432, prior_entropy: 0.9975, recall: 0.6432, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9191, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6298, kappa: 0.2698, kb_relative_information_score: 32.2338, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6528, predictive_accuracy: 0.6432, prior_entropy: 0.9975, recall: 0.6432, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9191, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.6479, kappa: 0.3381, kb_relative_information_score: 15.2138, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7522, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9469, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.6479, kappa: 0.3381, kb_relative_information_score: 15.2138, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7522, predictive_accuracy: 0.6811, prior_entropy: 0.9975, recall: 0.6811, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9469, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, f_measure: 0.3669, kb_relative_information_score: -0.0357, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0002, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4796, f_measure: 0.3669, kb_relative_information_score: -0.0357, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.2806, predictive_accuracy: 0.5297, prior_entropy: 0.9975, recall: 0.5297, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0002, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.584, kappa: 0.1694, kb_relative_information_score: 30.9457, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.587, predictive_accuracy: 0.5838, prior_entropy: 0.9975, recall: 0.5838, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6382, root_relative_squared_error: 1.2787, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.584, kappa: 0.1694, kb_relative_information_score: 30.9457, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.587, predictive_accuracy: 0.5838, prior_entropy: 0.9975, recall: 0.5838, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6382, root_relative_squared_error: 1.2787, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.6071, kappa: 0.2787, kb_relative_information_score: 34.7376, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7442, predictive_accuracy: 0.6541, prior_entropy: 0.9975, recall: 0.6541, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9308, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.6071, kappa: 0.2787, kb_relative_information_score: 34.7376, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.7442, predictive_accuracy: 0.6541, prior_entropy: 0.9975, recall: 0.6541, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9308, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6526, kappa: 0.3071, kb_relative_information_score: 45.8857, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.6634, predictive_accuracy: 0.6595, prior_entropy: 0.9975, recall: 0.6595, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9236, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.5541, kappa: 0.1384, kb_relative_information_score: 29.0662, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5792, predictive_accuracy: 0.5622, prior_entropy: 0.9975, recall: 0.5622, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5741, root_relative_squared_error: 1.1503, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,

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