Task
Supervised Classification on fri_c3_250_5

Supervised Classification on fri_c3_250_5

Task 4315 Supervised Classification fri_c3_250_5 196 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8176, kappa: 0.6332, kb_relative_information_score: 1312.8757, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8242, predictive_accuracy: 0.8168, prior_entropy: 0.9883, recall: 0.8168, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7822, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8172, kappa: 0.6283, kb_relative_information_score: 1246.9438, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8172, predictive_accuracy: 0.8172, prior_entropy: 0.9883, recall: 0.8172, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7077, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8332, kappa: 0.6609, kb_relative_information_score: 1429.3202, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8333, predictive_accuracy: 0.8332, prior_entropy: 0.9883, recall: 0.8332, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7052, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8303, kappa: 0.6539, kb_relative_information_score: 1635.5528, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 0.9883, recall: 0.8312, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8285, scimark_benchmark: 904.6764, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8303, kappa: 0.6539, kb_relative_information_score: 1635.5528, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 0.9883, recall: 0.8312, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8285, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8449, kappa: 0.685, kb_relative_information_score: 1388.2052, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8452, predictive_accuracy: 0.8448, prior_entropy: 0.9883, recall: 0.8448, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6637, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7284, kappa: 0.4462, kb_relative_information_score: 631.0543, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7283, predictive_accuracy: 0.7296, prior_entropy: 0.9883, recall: 0.7296, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8795, scimark_benchmark: 944.1067, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8175, kappa: 0.6297, kb_relative_information_score: 1361.7961, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8182, predictive_accuracy: 0.8172, prior_entropy: 0.9883, recall: 0.8172, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7708, scimark_benchmark: 927.2917, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8303, kappa: 0.6539, kb_relative_information_score: 1635.5528, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 0.9883, recall: 0.8312, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8285, scimark_benchmark: 944.1783, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8303, kappa: 0.6539, kb_relative_information_score: 1635.5528, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 0.9883, recall: 0.8312, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8285, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8728, kappa: 0.7414, kb_relative_information_score: 1593.7986, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9883, recall: 0.8728, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5937, scimark_benchmark: 937.5117, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8176, kappa: 0.6332, kb_relative_information_score: 1312.8757, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8242, predictive_accuracy: 0.8168, prior_entropy: 0.9883, recall: 0.8168, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7822, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8172, kappa: 0.6283, kb_relative_information_score: 1246.9438, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8172, predictive_accuracy: 0.8172, prior_entropy: 0.9883, recall: 0.8172, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7077, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8332, kappa: 0.6609, kb_relative_information_score: 1429.3202, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8333, predictive_accuracy: 0.8332, prior_entropy: 0.9883, recall: 0.8332, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7052, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8303, kappa: 0.6539, kb_relative_information_score: 1635.5528, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 0.9883, recall: 0.8312, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8285, scimark_benchmark: 937.5683, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8303, kappa: 0.6539, kb_relative_information_score: 1635.5528, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 0.9883, recall: 0.8312, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8285, scimark_benchmark: 859.5223, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8449, kappa: 0.685, kb_relative_information_score: 1388.2052, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8452, predictive_accuracy: 0.8448, prior_entropy: 0.9883, recall: 0.8448, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6637, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7284, kappa: 0.4462, kb_relative_information_score: 631.0543, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7283, predictive_accuracy: 0.7296, prior_entropy: 0.9883, recall: 0.7296, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8795, scimark_benchmark: 934.5964, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8175, kappa: 0.6297, kb_relative_information_score: 1361.7961, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8182, predictive_accuracy: 0.8172, prior_entropy: 0.9883, recall: 0.8172, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7708, scimark_benchmark: 945.6228, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8728, kappa: 0.7414, kb_relative_information_score: 1593.7986, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9883, recall: 0.8728, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5937, scimark_benchmark: 938.988, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8874, kappa: 0.7706, kb_relative_information_score: 1479.0359, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8875, predictive_accuracy: 0.8876, prior_entropy: 0.9883, recall: 0.8876, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.5823, scimark_benchmark: 1051.249, usercpu_time_millis: 1140, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8894, kappa: 0.7746, kb_relative_information_score: 1475.7056, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8895, predictive_accuracy: 0.8896, prior_entropy: 0.9883, recall: 0.8896, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.5867, scimark_benchmark: 904.5548, usercpu_time_millis: 310, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8901, kappa: 0.776, kb_relative_information_score: 1484.0684, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8905, predictive_accuracy: 0.8904, prior_entropy: 0.9883, recall: 0.8904, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.5839, scimark_benchmark: 897.0978, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8876, kappa: 0.771, kb_relative_information_score: 1487.5242, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9883, recall: 0.888, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5882, scimark_benchmark: 939.682, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8824, kappa: 0.7603, kb_relative_information_score: 1477.1183, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8829, predictive_accuracy: 0.8828, prior_entropy: 0.9883, recall: 0.8828, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6027, scimark_benchmark: 936.8729, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8356, kappa: 0.6651, kb_relative_information_score: 1516.3415, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9883, recall: 0.836, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6941, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8356, kappa: 0.6651, kb_relative_information_score: 1516.3415, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9883, recall: 0.836, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6941, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8356, kappa: 0.6651, kb_relative_information_score: 1516.4438, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9883, recall: 0.836, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.694, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8328, kappa: 0.6594, kb_relative_information_score: 1492.4021, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8328, predictive_accuracy: 0.8332, prior_entropy: 0.9883, recall: 0.8332, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.345, root_relative_squared_error: 0.6958, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8357, kappa: 0.6655, kb_relative_information_score: 1385.8783, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9883, recall: 0.836, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7061, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.4068, kb_relative_information_score: -0.4001, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9883, recall: 0.564, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8489, kappa: 0.6931, kb_relative_information_score: 1682.4323, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8491, predictive_accuracy: 0.8488, prior_entropy: 0.9883, recall: 0.8488, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7215, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8303, kappa: 0.6539, kb_relative_information_score: 1635.5528, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 0.9883, recall: 0.8312, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8285, scimark_benchmark: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7755, kappa: 0.5421, kb_relative_information_score: 1290.9027, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7761, predictive_accuracy: 0.7768, prior_entropy: 0.9883, recall: 0.7768, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7588, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7284, kappa: 0.4462, kb_relative_information_score: 631.0543, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7283, predictive_accuracy: 0.7296, prior_entropy: 0.9883, recall: 0.7296, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8795, scimark_benchmark: 1315.9287, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7755, kappa: 0.5421, kb_relative_information_score: 1290.9027, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7761, predictive_accuracy: 0.7768, prior_entropy: 0.9883, recall: 0.7768, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7588, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8175, kappa: 0.6297, kb_relative_information_score: 1361.7961, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8182, predictive_accuracy: 0.8172, prior_entropy: 0.9883, recall: 0.8172, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7708, scimark_benchmark: 1358.6198, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8728, kappa: 0.7414, kb_relative_information_score: 1593.7986, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9883, recall: 0.8728, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5937, scimark_benchmark: 1320.8283, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.8359, kappa: 0.6662, kb_relative_information_score: 1578.2377, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8359, predictive_accuracy: 0.836, prior_entropy: 0.9883, recall: 0.836, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7837, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8332, kappa: 0.6609, kb_relative_information_score: 1429.301, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8333, predictive_accuracy: 0.8332, prior_entropy: 0.9883, recall: 0.8332, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7052, scimark_benchmark: 1325.3966, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8303, kappa: 0.6539, kb_relative_information_score: 1635.5528, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 0.9883, recall: 0.8312, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8285, scimark_benchmark: 1280.9535, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7755, kappa: 0.5421, kb_relative_information_score: 1290.9027, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.7761, predictive_accuracy: 0.7768, prior_entropy: 0.9883, recall: 0.7768, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7588, scimark_benchmark: 1342.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8449, kappa: 0.685, kb_relative_information_score: 1388.2052, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8452, predictive_accuracy: 0.8448, prior_entropy: 0.9883, recall: 0.8448, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6637, scimark_benchmark: 1306.468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.8176, kappa: 0.6332, kb_relative_information_score: 1312.8757, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8242, predictive_accuracy: 0.8168, prior_entropy: 0.9883, recall: 0.8168, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7822, scimark_benchmark: 1382.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8219, kappa: 0.6409, kb_relative_information_score: 1359.8729, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8263, predictive_accuracy: 0.8212, prior_entropy: 0.9883, recall: 0.8212, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7359, scimark_benchmark: 1343.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8175, kappa: 0.6297, kb_relative_information_score: 1361.7961, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8182, predictive_accuracy: 0.8172, prior_entropy: 0.9883, recall: 0.8172, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7708, scimark_benchmark: 1331.0107, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8728, kappa: 0.7414, kb_relative_information_score: 1593.7986, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8728, predictive_accuracy: 0.8728, prior_entropy: 0.9883, recall: 0.8728, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5937, scimark_benchmark: 1370.3901, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8303, kappa: 0.6539, kb_relative_information_score: 1635.5528, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4919, number_of_instances: 2500, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 0.9883, recall: 0.8312, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8285, scimark_benchmark: 1353.6265, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

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