Task
Supervised Classification on fri_c1_100_50

Supervised Classification on fri_c1_100_50

Task 3740 Supervised Classification fri_c1_100_50 571 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: 0.7494, f_measure: 0.74, kappa: 0.4724, kb_relative_information_score: 34.7704, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5649, f_measure: 0.5498, kappa: 0.0849, kb_relative_information_score: 5.8728, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5509, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5275, root_relative_squared_error: 1.0627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4597, kappa: -0.0123, kb_relative_information_score: -0.3601, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4952, predictive_accuracy: 0.54, prior_entropy: 0.99, recall: 0.54, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5302, f_measure: 0.5438, kappa: 0.071, kb_relative_information_score: 3.9663, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5429, predictive_accuracy: 0.55, prior_entropy: 0.99, recall: 0.55, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5724, root_relative_squared_error: 1.1531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.7978, kappa: 0.5881, kb_relative_information_score: 33.1213, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 0.99, recall: 0.8, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, f_measure: 0.5146, kappa: 0.0115, kb_relative_information_score: 2.4653, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.513, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.0869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.698, kappa: 0.3852, kb_relative_information_score: 36.4024, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6983, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.536, root_relative_squared_error: 1.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.5105, kappa: 0.0081, kb_relative_information_score: 1.9911, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5112, predictive_accuracy: 0.51, prior_entropy: 0.99, recall: 0.51, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6623, root_relative_squared_error: 1.3343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.7135, kappa: 0.4176, kb_relative_information_score: 19.9075, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7223, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8382, kappa: 0.6705, kb_relative_information_score: 62.3051, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8428, predictive_accuracy: 0.84, prior_entropy: 0.99, recall: 0.84, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.698, kappa: 0.3852, kb_relative_information_score: 15.4045, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6983, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, f_measure: 0.5137, kappa: 0.0151, kb_relative_information_score: 3.8606, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5152, predictive_accuracy: 0.53, prior_entropy: 0.99, recall: 0.53, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5165, root_relative_squared_error: 1.0405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.698, kappa: 0.3852, kb_relative_information_score: 15.4045, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6983, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.5609, kappa: 0.1115, kb_relative_information_score: 8.3369, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5622, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7135, kappa: 0.4176, kb_relative_information_score: 30.7523, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7223, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.6922, kappa: 0.3966, kb_relative_information_score: 13.6584, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.774, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4513, f_measure: 0.4021, kb_relative_information_score: -0.1765, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7135, kappa: 0.4176, kb_relative_information_score: 31.7855, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7223, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7135, kappa: 0.4176, kb_relative_information_score: 31.7855, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7223, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7967, kappa: 0.5861, kb_relative_information_score: 36.6494, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8042, predictive_accuracy: 0.8, prior_entropy: 0.99, recall: 0.8, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.6023, kappa: 0.1909, kb_relative_information_score: 15.8791, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6047, predictive_accuracy: 0.61, prior_entropy: 0.99, recall: 0.61, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.6504, kappa: 0.2915, kb_relative_information_score: 28.541, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6509, predictive_accuracy: 0.65, prior_entropy: 0.99, recall: 0.65, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7906, kappa: 0.577, kb_relative_information_score: 55.6267, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7926, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.5438, kappa: 0.071, kb_relative_information_score: 9.6025, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5429, predictive_accuracy: 0.55, prior_entropy: 0.99, recall: 0.55, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.0711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.6008, kappa: 0.1922, kb_relative_information_score: 17.0939, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6021, predictive_accuracy: 0.6, prior_entropy: 0.99, recall: 0.6, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6139, root_relative_squared_error: 1.2366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.5989, kappa: 0.1843, kb_relative_information_score: 18.3384, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5982, predictive_accuracy: 0.6, prior_entropy: 0.99, recall: 0.6, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.6543, kappa: 0.2964, kb_relative_information_score: 12.5068, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6574, predictive_accuracy: 0.66, prior_entropy: 0.99, recall: 0.66, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.6504, kappa: 0.2915, kb_relative_information_score: 28.541, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6509, predictive_accuracy: 0.65, prior_entropy: 0.99, recall: 0.65, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.5498, kappa: 0.0849, kb_relative_information_score: 5.5102, mean_absolute_error: 0.4659, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5509, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7906, kappa: 0.577, kb_relative_information_score: 55.6267, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7926, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.5974, kappa: 0.1803, kb_relative_information_score: 14.3035, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5967, predictive_accuracy: 0.6, prior_entropy: 0.99, recall: 0.6, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5756, root_relative_squared_error: 1.1596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.5438, kappa: 0.071, kb_relative_information_score: 9.6025, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5429, predictive_accuracy: 0.55, prior_entropy: 0.99, recall: 0.55, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.0711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.455, kappa: 0.0018, kb_relative_information_score: -0.0804, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5094, predictive_accuracy: 0.55, prior_entropy: 0.99, recall: 0.55, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.5305, kappa: 0.0711, kb_relative_information_score: 3.221, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.544, predictive_accuracy: 0.53, prior_entropy: 0.99, recall: 0.53, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.7497, kappa: 0.4915, kb_relative_information_score: 48.9463, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7495, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.5587, kappa: 0.1028, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5579, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1461.2356, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.5391, kappa: 0.1095, kb_relative_information_score: 16.2978, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5894, predictive_accuracy: 0.59, prior_entropy: 0.99, recall: 0.59, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2899, scimark_benchmark: 1959.6455, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.5032, kappa: -0.0116, kb_relative_information_score: -0.0264, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5014, predictive_accuracy: 0.51, prior_entropy: 0.99, recall: 0.51, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7, root_relative_squared_error: 1.4102, 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: 0.5394, f_measure: 0.5808, kappa: 0.1519, kb_relative_information_score: 13.5795, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5822, predictive_accuracy: 0.58, prior_entropy: 0.99, recall: 0.58, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6047, root_relative_squared_error: 1.2181, scimark_benchmark: 1365.3693, usercpu_time_millis: 940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.5032, kappa: -0.0116, kb_relative_information_score: -0.0264, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5014, predictive_accuracy: 0.51, prior_entropy: 0.99, recall: 0.51, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7, root_relative_squared_error: 1.4102, scimark_benchmark: 1584.0672, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.5391, kappa: 0.1095, kb_relative_information_score: 16.2978, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5894, predictive_accuracy: 0.59, prior_entropy: 0.99, recall: 0.59, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2899, scimark_benchmark: 1338.9677, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.5587, kappa: 0.1028, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5579, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1718.6466, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.5989, kappa: 0.1843, kb_relative_information_score: 18.3384, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5982, predictive_accuracy: 0.6, prior_entropy: 0.99, recall: 0.6, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2741, scimark_benchmark: 1565.4449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.74, kappa: 0.4724, kb_relative_information_score: 34.7704, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9204, scimark_benchmark: 995.9351, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.6654, kappa: 0.3187, kb_relative_information_score: 28.1302, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6676, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8886, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.6095, kappa: 0.2329, kb_relative_information_score: 29.2209, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.63, predictive_accuracy: 0.61, prior_entropy: 0.99, recall: 0.61, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5152, root_relative_squared_error: 1.0379, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5828, f_measure: 0.5471, kappa: 0.1564, kb_relative_information_score: 10.0799, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.605, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8939, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1269, 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: 0.5574, f_measure: 0.5905, kappa: 0.17, kb_relative_information_score: 2.4969, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.591, predictive_accuracy: 0.59, prior_entropy: 0.99, recall: 0.59, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0335, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7135, kappa: 0.4176, kb_relative_information_score: 31.7855, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7223, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9189, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5146, kappa: 0.0115, kb_relative_information_score: 4.6956, mean_absolute_error: 0.4681, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.513, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0299, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.6896, kappa: 0.3694, kb_relative_information_score: 36.7031, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6893, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.414, kappa: -0.0144, kb_relative_information_score: 8.1357, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4584, predictive_accuracy: 0.55, prior_entropy: 0.99, recall: 0.55, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.66, kappa: 0.3101, kb_relative_information_score: 30.5815, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.99, recall: 0.66, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1747, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5649, f_measure: 0.5705, kappa: 0.1296, kb_relative_information_score: 12.2168, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5711, predictive_accuracy: 0.57, prior_entropy: 0.99, recall: 0.57, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.321, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7091, kappa: 0.4118, kb_relative_information_score: 27.3632, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7293, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9269, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.6654, kappa: 0.3187, kb_relative_information_score: 21.2696, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6676, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9744, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.7075, kappa: 0.4043, kb_relative_information_score: 15.4387, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7086, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.937, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4597, kappa: -0.0123, kb_relative_information_score: -0.3601, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4952, predictive_accuracy: 0.54, prior_entropy: 0.99, recall: 0.54, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0228, scimark_benchmark: 1870.7932,

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