Task
Supervised Classification on vinnie

Supervised Classification on vinnie

Task 3724 Supervised Classification vinnie 747 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8263, kappa: 0.6529, kb_relative_information_score: 216.0109, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8275, predictive_accuracy: 0.8263, prior_entropy: 0.9995, recall: 0.8263, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 200.2547, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8342, kappa: 0.6682, kb_relative_information_score: 211.4756, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8342, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8472, kappa: 0.6941, kb_relative_information_score: 263.8833, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8481, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8042, kappa: 0.609, kb_relative_information_score: 215.2553, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8096, predictive_accuracy: 0.8053, prior_entropy: 0.9995, recall: 0.8053, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8235, kappa: 0.6468, kb_relative_information_score: 225.8401, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.824, predictive_accuracy: 0.8237, prior_entropy: 0.9995, recall: 0.8237, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.8316, kappa: 0.6631, kb_relative_information_score: 197.6005, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8318, predictive_accuracy: 0.8316, prior_entropy: 0.9995, recall: 0.8316, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 199.9968, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8447, kappa: 0.689, kb_relative_information_score: 212.8492, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8449, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8447, kappa: 0.689, kb_relative_information_score: 228.8297, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8449, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8447, kappa: 0.689, kb_relative_information_score: 204.2345, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8449, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8421, kappa: 0.6844, kb_relative_information_score: 221.9988, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8433, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.6977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8369, kappa: 0.6736, kb_relative_information_score: 224.1967, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8371, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 216.7567, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8526, kappa: 0.7051, kb_relative_information_score: 205.5925, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8526, predictive_accuracy: 0.8526, prior_entropy: 0.9995, recall: 0.8526, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.6693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8526, kappa: 0.7051, kb_relative_information_score: 205.5925, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8526, predictive_accuracy: 0.8526, prior_entropy: 0.9995, recall: 0.8526, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.6693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 223.9827, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8367, kappa: 0.6742, kb_relative_information_score: 220.7018, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8396, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 222.2179, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8287, kappa: 0.6572, kb_relative_information_score: 253.6685, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8295, predictive_accuracy: 0.8289, prior_entropy: 0.9995, recall: 0.8289, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8447, kappa: 0.6891, kb_relative_information_score: 207.1757, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8448, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.8013, kappa: 0.6035, kb_relative_information_score: 99.8828, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8082, predictive_accuracy: 0.8026, prior_entropy: 0.9995, recall: 0.8026, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.3481, kb_relative_information_score: -0.0432, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.2633, predictive_accuracy: 0.5132, prior_entropy: 0.9995, recall: 0.5132, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8446, kappa: 0.69, kb_relative_information_score: 221.4773, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8479, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.6948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8446, kappa: 0.69, kb_relative_information_score: 221.4773, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8479, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.6948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 217.7093, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 200.2547, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 223.9827, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8287, kappa: 0.6572, kb_relative_information_score: 211.6923, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8295, predictive_accuracy: 0.8289, prior_entropy: 0.9995, recall: 0.8289, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 221.8156, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 200.2547, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8287, kappa: 0.6572, kb_relative_information_score: 249.8694, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8295, predictive_accuracy: 0.8289, prior_entropy: 0.9995, recall: 0.8289, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 223.9827, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8446, kappa: 0.6889, kb_relative_information_score: 210.0331, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8453, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8287, kappa: 0.6572, kb_relative_information_score: 249.8694, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8295, predictive_accuracy: 0.8289, prior_entropy: 0.9995, recall: 0.8289, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 263.8833, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.85, kappa: 0.7002, kb_relative_information_score: 222.6344, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8514, predictive_accuracy: 0.85, prior_entropy: 0.9995, recall: 0.85, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 223.9827, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8342, kappa: 0.6683, kb_relative_information_score: 196.1266, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8344, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.5256, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 224.1019, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8348, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8473, kappa: 0.695, kb_relative_information_score: 223.5121, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.849, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.8233, kappa: 0.6465, kb_relative_information_score: 245.8654, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8249, predictive_accuracy: 0.8237, prior_entropy: 0.9995, recall: 0.8237, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8401, scimark_benchmark: 1461.2356, usercpu_time_millis: 359.375, usercpu_time_millis_training: 359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8367, kappa: 0.6732, kb_relative_information_score: 255.8753, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.837, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8081, 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: 0.8344, f_measure: 0.8342, kappa: 0.6684, kb_relative_information_score: 253.8734, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8346, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8146, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3481, kb_relative_information_score: 9.632, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.2633, predictive_accuracy: 0.5132, prior_entropy: 0.9995, recall: 0.5132, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6977, root_relative_squared_error: 1.396, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 208.7675, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8376, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6883, scimark_benchmark: 1634.8035, usercpu_time_millis: 970, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3481, kb_relative_information_score: 9.632, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.2633, predictive_accuracy: 0.5132, prior_entropy: 0.9995, recall: 0.5132, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6977, root_relative_squared_error: 1.396, scimark_benchmark: 1257.8249, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8342, kappa: 0.6684, kb_relative_information_score: 253.8734, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8346, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8146, scimark_benchmark: 1368.9033, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.8233, kappa: 0.6465, kb_relative_information_score: 245.8654, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8249, predictive_accuracy: 0.8237, prior_entropy: 0.9995, recall: 0.8237, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8401, scimark_benchmark: 1367.7826, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8367, kappa: 0.6732, kb_relative_information_score: 255.8753, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.837, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8081, scimark_benchmark: 1660.6015, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8421, kappa: 0.684, kb_relative_information_score: 219.7996, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6685, scimark_benchmark: 1908.2191, usercpu_time_millis: 531.25, usercpu_time_millis_training: 531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8474, kappa: 0.6949, kb_relative_information_score: 218.6935, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8485, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6816, scimark_benchmark: 1537.7766, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8421, kappa: 0.684, kb_relative_information_score: 219.7996, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6685, scimark_benchmark: 1060.9535, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.8369, kappa: 0.6735, kb_relative_information_score: 255.8753, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8369, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8081, usercpu_time_millis: 9.095, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 9.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 259.8793, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.795, usercpu_time_millis: 0.066, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.8421, kappa: 0.684, kb_relative_information_score: 259.8793, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.795, usercpu_time_millis: 0.424, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 223.9827, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6624, scimark_benchmark: 1241.824, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 208.7682, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8376, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6883, scimark_benchmark: 1177.2088, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 224.1511, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6658, scimark_benchmark: 1379.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8473, kappa: 0.695, kb_relative_information_score: 223.3021, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.849, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4321, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6956, scimark_benchmark: 1292.1274, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 224.6414, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6747, scimark_benchmark: 1325.4148, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.8263, kappa: 0.6527, kb_relative_information_score: 196.6855, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8268, predictive_accuracy: 0.8263, prior_entropy: 0.9995, recall: 0.8263, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7385, scimark_benchmark: 774.5467, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8287, kappa: 0.6572, kb_relative_information_score: 249.8694, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8295, predictive_accuracy: 0.8289, prior_entropy: 0.9995, recall: 0.8289, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8275, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8367, kappa: 0.6732, kb_relative_information_score: 255.8753, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.837, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8081, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.8263, kappa: 0.6528, kb_relative_information_score: 203.0959, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8271, predictive_accuracy: 0.8263, prior_entropy: 0.9995, recall: 0.8263, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7227, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.85, kappa: 0.7002, kb_relative_information_score: 222.6369, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8514, predictive_accuracy: 0.85, prior_entropy: 0.9995, recall: 0.85, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6967, scimark_benchmark: 1925.3565, 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: 0.8626, f_measure: 0.8447, kappa: 0.689, kb_relative_information_score: 212.8492, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8449, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7074, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 200.2547, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7222, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8447, kappa: 0.6892, kb_relative_information_score: 223.9827, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8447, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6624, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8287, kappa: 0.6572, kb_relative_information_score: 249.8694, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8295, predictive_accuracy: 0.8289, prior_entropy: 0.9995, recall: 0.8289, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8275, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8367, kappa: 0.6732, kb_relative_information_score: 255.8753, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.837, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8081, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 208.7682, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8376, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6883, scimark_benchmark: 1925.3565, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 224.1511, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6658, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8473, kappa: 0.695, kb_relative_information_score: 223.3021, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.849, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4321, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6956, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 224.6414, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6747, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.8263, kappa: 0.6527, kb_relative_information_score: 196.6855, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8268, predictive_accuracy: 0.8263, prior_entropy: 0.9995, recall: 0.8263, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7385, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.8263, kappa: 0.6528, kb_relative_information_score: 203.0959, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8271, predictive_accuracy: 0.8263, prior_entropy: 0.9995, recall: 0.8263, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7227, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.85, kappa: 0.7002, kb_relative_information_score: 222.6369, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8514, predictive_accuracy: 0.85, prior_entropy: 0.9995, recall: 0.85, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6967, scimark_benchmark: 1892.0925, 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: 0.8626, f_measure: 0.8447, kappa: 0.689, kb_relative_information_score: 212.8492, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8449, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7074, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 200.2547, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7222, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 224.1511, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6658, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.8316, kappa: 0.6631, kb_relative_information_score: 197.6005, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8318, predictive_accuracy: 0.8316, prior_entropy: 0.9995, recall: 0.8316, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7343, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 208.7682, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8376, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6883, scimark_benchmark: 1834.908, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 224.6414, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6747, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 224.6414, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6747, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 224.6414, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6747, scimark_benchmark: 1788.6668, 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: 0.828, f_measure: 0.8316, kappa: 0.6631, kb_relative_information_score: 197.6005, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8318, predictive_accuracy: 0.8316, prior_entropy: 0.9995, recall: 0.8316, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7343, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 208.7682, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8376, predictive_accuracy: 0.8368, prior_entropy: 0.9995, recall: 0.8368, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6883, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 224.1511, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6658, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8287, kappa: 0.6572, kb_relative_information_score: 249.8694, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8295, predictive_accuracy: 0.8289, prior_entropy: 0.9995, recall: 0.8289, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8275, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8287, kappa: 0.6572, kb_relative_information_score: 249.8694, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8295, predictive_accuracy: 0.8289, prior_entropy: 0.9995, recall: 0.8289, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8275, scimark_benchmark: 1346.4584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8421, kappa: 0.6839, kb_relative_information_score: 224.1511, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8421, predictive_accuracy: 0.8421, prior_entropy: 0.9995, recall: 0.8421, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6658, scimark_benchmark: 1087.7908, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.8316, kappa: 0.6631, kb_relative_information_score: 197.6005, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8318, predictive_accuracy: 0.8316, prior_entropy: 0.9995, recall: 0.8316, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7343, scimark_benchmark: 951.9128, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8578, kappa: 0.7161, kb_relative_information_score: 223.1138, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8601, predictive_accuracy: 0.8579, prior_entropy: 0.9995, recall: 0.8579, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.67, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8473, kappa: 0.695, kb_relative_information_score: 223.3308, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.849, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6956, 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: 0.8939, f_measure: 0.8473, kappa: 0.695, kb_relative_information_score: 223.3308, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.849, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6956, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8578, kappa: 0.7161, kb_relative_information_score: 223.1138, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8601, predictive_accuracy: 0.8579, prior_entropy: 0.9995, recall: 0.8579, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.67, 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: 0.8993, f_measure: 0.8447, kappa: 0.6899, kb_relative_information_score: 221.0277, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8472, predictive_accuracy: 0.8447, prior_entropy: 0.9995, recall: 0.8447, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.6945, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs