Task
Supervised Classification on fri_c3_250_25

Supervised Classification on fri_c3_250_25

Task 3697 Supervised Classification fri_c3_250_25 550 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: 0.921, f_measure: 0.839, kappa: 0.673, kb_relative_information_score: 131.8494, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8408, predictive_accuracy: 0.84, prior_entropy: 0.9911, recall: 0.84, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7704, kappa: 0.5336, kb_relative_information_score: 116.2226, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7719, predictive_accuracy: 0.772, prior_entropy: 0.9911, recall: 0.772, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.6303, kappa: 0.2492, kb_relative_information_score: 33.485, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6298, predictive_accuracy: 0.632, prior_entropy: 0.9911, recall: 0.632, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.486, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.6533, kappa: 0.2956, kb_relative_information_score: 35.5195, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6536, predictive_accuracy: 0.656, prior_entropy: 0.9911, recall: 0.656, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.6533, kappa: 0.2956, kb_relative_information_score: 45.7157, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6536, predictive_accuracy: 0.656, prior_entropy: 0.9911, recall: 0.656, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.538, kappa: 0.0633, kb_relative_information_score: 10.0121, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.5389, predictive_accuracy: 0.548, prior_entropy: 0.9911, recall: 0.548, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5456, root_relative_squared_error: 1.0981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8441, kappa: 0.6843, kb_relative_information_score: 167.0972, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8442, predictive_accuracy: 0.844, prior_entropy: 0.9911, recall: 0.844, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.6123, kappa: 0.2122, kb_relative_information_score: 39.5917, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6125, predictive_accuracy: 0.616, prior_entropy: 0.9911, recall: 0.616, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5231, root_relative_squared_error: 1.0528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8035, kappa: 0.6012, kb_relative_information_score: 126.9929, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8036, predictive_accuracy: 0.804, prior_entropy: 0.9911, recall: 0.804, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7396, kappa: 0.472, kb_relative_information_score: 118.3499, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7394, predictive_accuracy: 0.74, prior_entropy: 0.9911, recall: 0.74, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.6107, kappa: 0.2093, kb_relative_information_score: 36.0137, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6119, predictive_accuracy: 0.616, prior_entropy: 0.9911, recall: 0.616, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.5734, kappa: 0.1334, kb_relative_information_score: 18.7607, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.5726, predictive_accuracy: 0.576, prior_entropy: 0.9911, recall: 0.576, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.0252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.6993, kappa: 0.3894, kb_relative_information_score: 26.0591, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7039, predictive_accuracy: 0.704, prior_entropy: 0.9911, recall: 0.704, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6052, kappa: 0.2101, kb_relative_information_score: 47.487, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.612, predictive_accuracy: 0.604, prior_entropy: 0.9911, recall: 0.604, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8553, kappa: 0.7062, kb_relative_information_score: 145.9528, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8564, predictive_accuracy: 0.856, prior_entropy: 0.9911, recall: 0.856, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8275, kappa: 0.65, kb_relative_information_score: 90.5495, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8277, predictive_accuracy: 0.828, prior_entropy: 0.9911, recall: 0.828, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3973, kb_relative_information_score: -0.033, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.3091, predictive_accuracy: 0.556, prior_entropy: 0.9911, recall: 0.556, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.696, kappa: 0.3843, kb_relative_information_score: 71.348, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.696, predictive_accuracy: 0.696, prior_entropy: 0.9911, recall: 0.696, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8281, kappa: 0.6519, kb_relative_information_score: 142.2612, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 0.9911, recall: 0.828, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8241, kappa: 0.6442, kb_relative_information_score: 138.5406, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8244, predictive_accuracy: 0.824, prior_entropy: 0.9911, recall: 0.824, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.657, kappa: 0.3031, kb_relative_information_score: 48.7478, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6577, predictive_accuracy: 0.66, prior_entropy: 0.9911, recall: 0.66, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.8117, kappa: 0.6182, kb_relative_information_score: 150.7017, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8117, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.6496, kappa: 0.2881, kb_relative_information_score: 41.0306, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6497, predictive_accuracy: 0.652, prior_entropy: 0.9911, recall: 0.652, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.6511, kappa: 0.2919, kb_relative_information_score: 45.4572, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6507, predictive_accuracy: 0.652, prior_entropy: 0.9911, recall: 0.652, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7556, kappa: 0.5045, kb_relative_information_score: 112.9976, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7555, predictive_accuracy: 0.756, prior_entropy: 0.9911, recall: 0.756, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.816, kappa: 0.6273, kb_relative_information_score: 94.4895, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9911, recall: 0.816, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.8117, kappa: 0.6182, kb_relative_information_score: 150.7017, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8117, predictive_accuracy: 0.812, prior_entropy: 0.9911, recall: 0.812, relative_absolute_error: 0.4007, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6312, kappa: 0.2519, kb_relative_information_score: 62.6435, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6308, predictive_accuracy: 0.632, prior_entropy: 0.9911, recall: 0.632, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7386, kappa: 0.4691, kb_relative_information_score: 117.6179, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7391, predictive_accuracy: 0.74, prior_entropy: 0.9911, recall: 0.74, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.6232, kappa: 0.2357, kb_relative_information_score: 36.852, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6228, predictive_accuracy: 0.624, prior_entropy: 0.9911, recall: 0.624, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.5906, kappa: 0.1703, kb_relative_information_score: 46.3547, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.5944, predictive_accuracy: 0.6, prior_entropy: 0.9911, recall: 0.6, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.6496, kappa: 0.2881, kb_relative_information_score: 41.0306, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6497, predictive_accuracy: 0.652, prior_entropy: 0.9911, recall: 0.652, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.6361, kappa: 0.2622, kb_relative_information_score: 27.0009, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6415, predictive_accuracy: 0.644, prior_entropy: 0.9911, recall: 0.644, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.7804, kappa: 0.5564, kb_relative_information_score: 93.6698, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7814, predictive_accuracy: 0.78, prior_entropy: 0.9911, recall: 0.78, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.7833, kappa: 0.5601, kb_relative_information_score: 140.0149, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7835, predictive_accuracy: 0.784, prior_entropy: 0.9911, recall: 0.784, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.6334, kappa: 0.256, kb_relative_information_score: 66.7156, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.637, predictive_accuracy: 0.64, prior_entropy: 0.9911, recall: 0.64, relative_absolute_error: 0.7291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2076, scimark_benchmark: 1959.6455, 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: 0.6102, f_measure: 0.618, kappa: 0.2244, kb_relative_information_score: 58.5713, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6202, predictive_accuracy: 0.624, prior_entropy: 0.9911, recall: 0.624, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2341, scimark_benchmark: 1959.6455, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5902, f_measure: 0.5888, kappa: 0.1899, kb_relative_information_score: 56.5352, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6265, predictive_accuracy: 0.62, prior_entropy: 0.9911, recall: 0.62, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2407, scimark_benchmark: 1631.1992, 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: 0.6102, f_measure: 0.618, kappa: 0.2244, kb_relative_information_score: 58.5713, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6202, predictive_accuracy: 0.624, prior_entropy: 0.9911, recall: 0.624, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2341, scimark_benchmark: 1369.712, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.6334, kappa: 0.256, kb_relative_information_score: 66.7156, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.637, predictive_accuracy: 0.64, prior_entropy: 0.9911, recall: 0.64, relative_absolute_error: 0.7291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2076, scimark_benchmark: 1681.6798, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5902, f_measure: 0.5888, kappa: 0.1899, kb_relative_information_score: 56.5352, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6265, predictive_accuracy: 0.62, prior_entropy: 0.9911, recall: 0.62, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2407, scimark_benchmark: 1625.5986, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.649, kappa: 0.2935, kb_relative_information_score: 51.5262, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6521, predictive_accuracy: 0.648, prior_entropy: 0.9911, recall: 0.648, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0309, scimark_benchmark: 1908.2191, usercpu_time_millis: 1265.625, usercpu_time_millis_training: 1265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.6755, kappa: 0.342, kb_relative_information_score: 83.3698, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6752, predictive_accuracy: 0.676, prior_entropy: 0.9911, recall: 0.676, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5625, root_relative_squared_error: 1.1322, scimark_benchmark: 1908.2191, usercpu_time_millis: 1312.5, usercpu_time_millis_training: 1312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.6671, kappa: 0.3245, kb_relative_information_score: 80.9683, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6668, predictive_accuracy: 0.668, prior_entropy: 0.9911, recall: 0.668, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1597, scimark_benchmark: 1827.4462, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7704, kappa: 0.5336, kb_relative_information_score: 116.2226, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7719, predictive_accuracy: 0.772, prior_entropy: 0.9911, recall: 0.772, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8828, scimark_benchmark: 974.1441, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8443, kappa: 0.6855, kb_relative_information_score: 141.3223, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8453, predictive_accuracy: 0.844, prior_entropy: 0.9911, recall: 0.844, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6512, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8205, kappa: 0.6416, kb_relative_information_score: 159.8356, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8305, predictive_accuracy: 0.82, prior_entropy: 0.9911, recall: 0.82, relative_absolute_error: 0.3593, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7572, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.5277, kappa: 0.1141, kb_relative_information_score: 28.824, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.5761, predictive_accuracy: 0.54, prior_entropy: 0.9911, recall: 0.54, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5605, root_relative_squared_error: 1.1281, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6264, f_measure: 0.5764, kappa: 0.1428, kb_relative_information_score: 21.4113, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.5768, predictive_accuracy: 0.576, prior_entropy: 0.9911, recall: 0.576, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4875, root_relative_squared_error: 0.9812, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8441, kappa: 0.6843, kb_relative_information_score: 148.0662, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8442, predictive_accuracy: 0.844, prior_entropy: 0.9911, recall: 0.844, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.6882, 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: 0.5775, f_measure: 0.538, kappa: 0.0633, kb_relative_information_score: 18.1887, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.5389, predictive_accuracy: 0.548, prior_entropy: 0.9911, recall: 0.548, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.046, 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: 0.5407, f_measure: 0.527, kappa: 0.0865, kb_relative_information_score: 34.1382, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.5694, predictive_accuracy: 0.576, prior_entropy: 0.9911, recall: 0.576, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.6116, kappa: 0.2125, kb_relative_information_score: 56.5352, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6159, predictive_accuracy: 0.62, prior_entropy: 0.9911, recall: 0.62, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2407, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8757, kappa: 0.7477, kb_relative_information_score: 186.8451, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 0.9911, recall: 0.876, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.6253, kappa: 0.2395, kb_relative_information_score: 62.6435, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6285, predictive_accuracy: 0.632, prior_entropy: 0.9911, recall: 0.632, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2209, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.8271, kappa: 0.6488, kb_relative_information_score: 133.4368, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8283, predictive_accuracy: 0.828, prior_entropy: 0.9911, recall: 0.828, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.771, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8959, kappa: 0.789, kb_relative_information_score: 197.0255, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9911, recall: 0.896, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.7791, kappa: 0.5516, kb_relative_information_score: 137.9789, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7795, predictive_accuracy: 0.78, prior_entropy: 0.9911, recall: 0.78, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.469, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7585, kappa: 0.5095, kb_relative_information_score: 99.3458, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.7595, predictive_accuracy: 0.76, prior_entropy: 0.9911, recall: 0.76, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8885, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6196, kappa: 0.2272, kb_relative_information_score: 37.1785, mean_absolute_error: 0.4279, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6204, predictive_accuracy: 0.624, prior_entropy: 0.9911, recall: 0.624, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.949, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.6533, kappa: 0.2956, kb_relative_information_score: 45.7157, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.6536, predictive_accuracy: 0.656, prior_entropy: 0.9911, recall: 0.656, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9864, 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

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From your own software

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

OpenML APIs