Task
Supervised Classification on fri_c3_100_10

Supervised Classification on fri_c3_100_10

Task 3648 Supervised Classification fri_c3_100_10 799 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: 0.6694, f_measure: 0.6307, kappa: 0.2324, kb_relative_information_score: 19.1803, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6316, predictive_accuracy: 0.63, prior_entropy: 0.9721, recall: 0.63, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5444, root_relative_squared_error: 1.1112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.6375, kappa: 0.2411, kb_relative_information_score: 15.0266, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6526, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5531, f_measure: 0.613, kappa: 0.2041, kb_relative_information_score: 7.5769, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.619, predictive_accuracy: 0.61, prior_entropy: 0.9721, recall: 0.61, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7132, kappa: 0.3966, kb_relative_information_score: 33.7908, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7162, predictive_accuracy: 0.72, prior_entropy: 0.9721, recall: 0.72, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.5133, kappa: 0.0284, kb_relative_information_score: 2.1162, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5459, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.6584, kappa: 0.2857, kb_relative_information_score: 13.2453, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6574, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.8086, kappa: 0.5992, kb_relative_information_score: 57.2987, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8088, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.5845, kappa: 0.1277, kb_relative_information_score: 8.2283, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.582, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6877, kappa: 0.346, kb_relative_information_score: 15.4427, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6867, predictive_accuracy: 0.69, prior_entropy: 0.9721, recall: 0.69, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6427, f_measure: 0.6707, kappa: 0.3154, kb_relative_information_score: 24.0368, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6714, predictive_accuracy: 0.67, prior_entropy: 0.9721, recall: 0.67, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5617, root_relative_squared_error: 1.1466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.4903, kappa: 0.0097, kb_relative_information_score: 2.7404, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5327, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: -0.0157, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4899, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.6751, kappa: 0.3172, kb_relative_information_score: 17.1403, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6858, predictive_accuracy: 0.69, prior_entropy: 0.9721, recall: 0.69, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.6194, kappa: 0.2081, kb_relative_information_score: 17.5524, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6426, predictive_accuracy: 0.65, prior_entropy: 0.9721, recall: 0.65, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.0739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.74, kappa: 0.4583, kb_relative_information_score: 34.0652, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.7337, kappa: 0.4397, kb_relative_information_score: 18.6834, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7375, predictive_accuracy: 0.74, prior_entropy: 0.9721, recall: 0.74, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: -0.0157, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4899, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6381, f_measure: 0.6584, kappa: 0.2857, kb_relative_information_score: 12.3099, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6574, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 0.0959, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4899, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, f_measure: 0.64, kappa: 0.25, kb_relative_information_score: 11.2614, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 0.9721, recall: 0.64, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7885, kappa: 0.557, kb_relative_information_score: 52.4624, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7884, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.6182, kappa: 0.2017, kb_relative_information_score: 14.5157, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.617, predictive_accuracy: 0.62, prior_entropy: 0.9721, recall: 0.62, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6113, f_measure: 0.5829, kappa: 0.1228, kb_relative_information_score: 7.7823, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5833, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.6182, kappa: 0.2017, kb_relative_information_score: 14.5157, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.617, predictive_accuracy: 0.62, prior_entropy: 0.9721, recall: 0.62, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, f_measure: 0.5662, kappa: 0.087, kb_relative_information_score: 11.0285, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5638, predictive_accuracy: 0.58, prior_entropy: 0.9721, recall: 0.58, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6429, kappa: 0.2489, kb_relative_information_score: 17.4334, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6422, predictive_accuracy: 0.65, prior_entropy: 0.9721, recall: 0.65, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 15.2597, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7885, kappa: 0.557, kb_relative_information_score: 36.1925, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7884, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.6707, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7885, kappa: 0.557, kb_relative_information_score: 52.4624, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7884, predictive_accuracy: 0.79, prior_entropy: 0.9721, recall: 0.79, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7482, kappa: 0.4726, kb_relative_information_score: 39.0348, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7477, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: 15.2597, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.6182, kappa: 0.2017, kb_relative_information_score: 14.5157, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.617, predictive_accuracy: 0.62, prior_entropy: 0.9721, recall: 0.62, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.6234, kappa: 0.2326, kb_relative_information_score: 5.1038, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6886, predictive_accuracy: 0.67, prior_entropy: 0.9721, recall: 0.67, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.8192, kappa: 0.6218, kb_relative_information_score: 37.6345, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.819, predictive_accuracy: 0.82, prior_entropy: 0.9721, recall: 0.82, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.7705, kappa: 0.5228, kb_relative_information_score: 51.2252, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7711, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.5624, kappa: 0.1122, kb_relative_information_score: 19.491, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6053, predictive_accuracy: 0.62, prior_entropy: 0.9721, recall: 0.62, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2583, scimark_benchmark: 1631.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5292, f_measure: 0.5522, kappa: 0.0625, kb_relative_information_score: 11.0285, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5544, predictive_accuracy: 0.58, prior_entropy: 0.9721, recall: 0.58, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3229, 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: 0.575, f_measure: 0.5989, kappa: 0.1558, kb_relative_information_score: 17.3753, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5978, predictive_accuracy: 0.61, prior_entropy: 0.9721, recall: 0.61, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2747, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5292, f_measure: 0.5522, kappa: 0.0625, kb_relative_information_score: 11.0285, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5544, predictive_accuracy: 0.58, prior_entropy: 0.9721, recall: 0.58, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3229, scimark_benchmark: 1358.2966, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.5989, kappa: 0.1558, kb_relative_information_score: 17.3753, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5978, predictive_accuracy: 0.61, prior_entropy: 0.9721, recall: 0.61, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2747, scimark_benchmark: 1370.4665, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.5624, kappa: 0.1122, kb_relative_information_score: 19.491, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6053, predictive_accuracy: 0.62, prior_entropy: 0.9721, recall: 0.62, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2583, scimark_benchmark: 1696.364, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.5921, kappa: 0.2023, kb_relative_information_score: 12.4157, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.629, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.063, scimark_benchmark: 1908.2191, usercpu_time_millis: 312.5, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5845, kappa: 0.1277, kb_relative_information_score: 10.0836, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.582, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.8918, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0582, scimark_benchmark: 1908.2191, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, f_measure: 0.6413, kappa: 0.2562, kb_relative_information_score: 22.9445, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6432, predictive_accuracy: 0.64, prior_entropy: 0.9721, recall: 0.64, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.1098, scimark_benchmark: 1354.1551, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.7127, kappa: 0.413, kb_relative_information_score: 18.3574, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7223, predictive_accuracy: 0.71, prior_entropy: 0.9721, recall: 0.71, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9426, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6273, f_measure: 0.5491, kappa: 0.1379, kb_relative_information_score: 16.8463, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.599, predictive_accuracy: 0.55, prior_entropy: 0.9721, recall: 0.55, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5227, root_relative_squared_error: 1.067, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6, kappa: 0.2308, kb_relative_information_score: 17.1372, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.65, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5366, root_relative_squared_error: 1.0953, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6182, kappa: 0.2017, kb_relative_information_score: 13.0847, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.617, predictive_accuracy: 0.62, prior_entropy: 0.9721, recall: 0.62, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9785, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.6492, kappa: 0.2678, kb_relative_information_score: 16.2037, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6486, predictive_accuracy: 0.65, prior_entropy: 0.9721, recall: 0.65, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9902, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6381, f_measure: 0.6584, kappa: 0.2857, kb_relative_information_score: 12.3099, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6574, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0328, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, f_measure: 0.5612, kappa: 0.0773, kb_relative_information_score: 8.9129, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5579, predictive_accuracy: 0.57, prior_entropy: 0.9721, recall: 0.57, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3385, usercpu_time_millis: 0.165, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7505, kappa: 0.4813, kb_relative_information_score: 46.994, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.7511, predictive_accuracy: 0.75, prior_entropy: 0.9721, recall: 0.75, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6542, f_measure: 0.6622, kappa: 0.3033, kb_relative_information_score: 27.9534, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6666, predictive_accuracy: 0.66, prior_entropy: 0.9721, recall: 0.66, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, f_measure: 0.4825, kappa: 0.0196, kb_relative_information_score: 15.2597, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5625, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.5353, kappa: 0.0254, kb_relative_information_score: 2.566, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5323, predictive_accuracy: 0.54, prior_entropy: 0.9721, recall: 0.54, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3844, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6307, kappa: 0.2324, kb_relative_information_score: 9.5208, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6316, predictive_accuracy: 0.63, prior_entropy: 0.9721, recall: 0.63, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0459, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.612, kappa: 0.1975, kb_relative_information_score: 13.2955, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.6152, predictive_accuracy: 0.61, prior_entropy: 0.9721, recall: 0.61, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5232, root_relative_squared_error: 1.0679, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.4768, kb_relative_information_score: -0.0366, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.52, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0121, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.5133, kappa: 0.0284, kb_relative_information_score: 2.1162, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.5459, predictive_accuracy: 0.59, prior_entropy: 0.9721, recall: 0.59, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0093, scimark_benchmark: 1732.2066,

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