Task
Supervised Classification on analcatdata_japansolvent

Supervised Classification on analcatdata_japansolvent

Task 3558 Supervised Classification analcatdata_japansolvent 102 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.765, kappa: 0.5336, kb_relative_information_score: 28.577, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7825, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4544, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.8977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8457, kappa: 0.6909, kb_relative_information_score: 29.0038, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8478, predictive_accuracy: 0.8462, prior_entropy: 0.999, recall: 0.8462, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.6996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.806, kappa: 0.6125, kb_relative_information_score: 31.7547, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8141, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.7112, kappa: 0.4248, kb_relative_information_score: 18.0062, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7157, predictive_accuracy: 0.7115, prior_entropy: 0.999, recall: 0.7115, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7621, kappa: 0.5322, kb_relative_information_score: 28.9657, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4411, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.806, kappa: 0.6125, kb_relative_information_score: 30.6329, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8141, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7857, kappa: 0.5731, kb_relative_information_score: 26.9224, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7981, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.499, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.6895, kappa: 0.38, kb_relative_information_score: 19.9398, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.6951, predictive_accuracy: 0.6923, prior_entropy: 0.999, recall: 0.6923, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5152, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.7259, kappa: 0.4559, kb_relative_information_score: 24.5106, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7414, predictive_accuracy: 0.7308, prior_entropy: 0.999, recall: 0.7308, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.7834, kappa: 0.5719, kb_relative_information_score: 28.8078, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8091, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.449, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.765, kappa: 0.5336, kb_relative_information_score: 25.7612, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7825, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.744, kappa: 0.494, kb_relative_information_score: 27.9121, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7672, predictive_accuracy: 0.75, prior_entropy: 0.999, recall: 0.75, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.806, kappa: 0.6125, kb_relative_information_score: 27.4443, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8141, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.826, kappa: 0.6518, kb_relative_information_score: 31.3324, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8306, predictive_accuracy: 0.8269, prior_entropy: 0.999, recall: 0.8269, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7685, kappa: 0.5364, kb_relative_information_score: 25.418, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7702, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8077, kappa: 0.616, kb_relative_information_score: 11.87, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8101, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4089, f_measure: 0.3549, kb_relative_information_score: -0.2235, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.2696, predictive_accuracy: 0.5192, prior_entropy: 0.999, recall: 0.5192, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.744, kappa: 0.494, kb_relative_information_score: 26.0613, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7672, predictive_accuracy: 0.75, prior_entropy: 0.999, recall: 0.75, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8457, kappa: 0.6909, kb_relative_information_score: 30.8845, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8478, predictive_accuracy: 0.8462, prior_entropy: 0.999, recall: 0.8462, relative_absolute_error: 0.4209, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8457, kappa: 0.6909, kb_relative_information_score: 31.2974, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8478, predictive_accuracy: 0.8462, prior_entropy: 0.999, recall: 0.8462, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.765, kappa: 0.5336, kb_relative_information_score: 27.9485, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7825, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.806, kappa: 0.6125, kb_relative_information_score: 31.0994, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8141, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7857, kappa: 0.5731, kb_relative_information_score: 27.8094, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7981, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.7804, kappa: 0.5706, kb_relative_information_score: 29.7551, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8257, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7857, kappa: 0.5731, kb_relative_information_score: 29.9524, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7981, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7621, kappa: 0.5322, kb_relative_information_score: 28.3742, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7857, kappa: 0.5731, kb_relative_information_score: 29.9524, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7981, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7857, kappa: 0.5731, kb_relative_information_score: 27.8094, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7981, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8846, kappa: 0.7689, kb_relative_information_score: 15.4854, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8846, predictive_accuracy: 0.8846, prior_entropy: 0.999, recall: 0.8846, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7857, kappa: 0.5731, kb_relative_information_score: 29.9524, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7981, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8846, kappa: 0.7689, kb_relative_information_score: 37.5756, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8846, predictive_accuracy: 0.8846, prior_entropy: 0.999, recall: 0.8846, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8457, kappa: 0.6909, kb_relative_information_score: 28.8076, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8478, predictive_accuracy: 0.8462, prior_entropy: 0.999, recall: 0.8462, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.826, kappa: 0.6518, kb_relative_information_score: 24.4938, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8306, predictive_accuracy: 0.8269, prior_entropy: 0.999, recall: 0.8269, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8462, kappa: 0.6928, kb_relative_information_score: 24.8001, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8487, predictive_accuracy: 0.8462, prior_entropy: 0.999, recall: 0.8462, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8077, kappa: 0.6148, kb_relative_information_score: 31.9564, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.525, kappa: 0.1677, kb_relative_information_score: 9.9128, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.6941, predictive_accuracy: 0.5962, prior_entropy: 0.999, recall: 0.5962, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6355, root_relative_squared_error: 1.2719, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.6307, kappa: 0.2941, kb_relative_information_score: 15.9247, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.6893, predictive_accuracy: 0.6538, prior_entropy: 0.999, recall: 0.6538, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.1776, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.7181, kappa: 0.4526, kb_relative_information_score: 23.9405, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7675, predictive_accuracy: 0.7308, prior_entropy: 0.999, recall: 0.7308, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.0385, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.6307, kappa: 0.2941, kb_relative_information_score: 15.9247, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.6893, predictive_accuracy: 0.6538, prior_entropy: 0.999, recall: 0.6538, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.1776, scimark_benchmark: 1347.0624, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.7181, kappa: 0.4526, kb_relative_information_score: 23.9405, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7675, predictive_accuracy: 0.7308, prior_entropy: 0.999, recall: 0.7308, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.0385, scimark_benchmark: 1670.8232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.525, kappa: 0.1677, kb_relative_information_score: 9.9128, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.6941, predictive_accuracy: 0.5962, prior_entropy: 0.999, recall: 0.5962, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6355, root_relative_squared_error: 1.2719, scimark_benchmark: 1672.4432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7873, kappa: 0.5744, kb_relative_information_score: 28.8722, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7914, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.4502, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9099, scimark_benchmark: 1918.4916, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7857, kappa: 0.5731, kb_relative_information_score: 25.9212, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7981, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.8977, scimark_benchmark: 1918.4916, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.765, kappa: 0.5336, kb_relative_information_score: 27.9485, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7825, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9615, scimark_benchmark: 1427.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8077, kappa: 0.6148, kb_relative_information_score: 29.7231, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7738, scimark_benchmark: 1361.3044, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8462, kappa: 0.6919, kb_relative_information_score: 29.6378, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 0.999, recall: 0.8462, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7394, scimark_benchmark: 1255.8196,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.806, kappa: 0.6125, kb_relative_information_score: 29.8145, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8141, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8598, scimark_benchmark: 835.5486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7621, kappa: 0.5322, kb_relative_information_score: 28.3558, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9092, scimark_benchmark: 1308.7505, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.7621, kappa: 0.5322, kb_relative_information_score: 27.9485, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9615, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7857, kappa: 0.5731, kb_relative_information_score: 29.9524, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7981, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9205, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8462, kappa: 0.6928, kb_relative_information_score: 32.0879, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8487, predictive_accuracy: 0.8462, prior_entropy: 0.999, recall: 0.8462, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7247, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.806, kappa: 0.6125, kb_relative_information_score: 29.8145, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8141, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8598, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.826, kappa: 0.6518, kb_relative_information_score: 32.9417, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8306, predictive_accuracy: 0.8269, prior_entropy: 0.999, recall: 0.8269, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8165, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7467, kappa: 0.4955, kb_relative_information_score: 25.441, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7578, predictive_accuracy: 0.75, prior_entropy: 0.999, recall: 0.75, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9703, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7882, kappa: 0.5782, kb_relative_information_score: 26.2718, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7933, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8539, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.8077, kappa: 0.616, kb_relative_information_score: 25.4237, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8101, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8231, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8457, kappa: 0.6909, kb_relative_information_score: 26.9651, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8478, predictive_accuracy: 0.8462, prior_entropy: 0.999, recall: 0.8462, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7339, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7621, kappa: 0.5322, kb_relative_information_score: 28.9509, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.8994, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7857, kappa: 0.5731, kb_relative_information_score: 27.8094, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7981, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8895, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7621, kappa: 0.5322, kb_relative_information_score: 28.3558, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9092, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.7621, kappa: 0.5322, kb_relative_information_score: 27.9485, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9615, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7857, kappa: 0.5731, kb_relative_information_score: 29.9524, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7981, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9205, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8462, kappa: 0.6928, kb_relative_information_score: 32.0736, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8487, predictive_accuracy: 0.8462, prior_entropy: 0.999, recall: 0.8462, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7249, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.806, kappa: 0.6125, kb_relative_information_score: 29.8145, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8141, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8598, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.826, kappa: 0.6518, kb_relative_information_score: 32.9417, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8306, predictive_accuracy: 0.8269, prior_entropy: 0.999, recall: 0.8269, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8165, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7467, kappa: 0.4955, kb_relative_information_score: 25.9706, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7578, predictive_accuracy: 0.75, prior_entropy: 0.999, recall: 0.75, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9661, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.8071, kappa: 0.6171, kb_relative_information_score: 27.8126, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8162, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.4859, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8143, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7885, kappa: 0.5769, kb_relative_information_score: 24.143, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7892, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8462, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8654, kappa: 0.7308, kb_relative_information_score: 27.5475, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8661, predictive_accuracy: 0.8654, prior_entropy: 0.999, recall: 0.8654, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7272, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7621, kappa: 0.5322, kb_relative_information_score: 28.9509, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.8994, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7857, kappa: 0.5731, kb_relative_information_score: 27.8094, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7981, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8895, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.826, kappa: 0.6518, kb_relative_information_score: 32.6977, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8306, predictive_accuracy: 0.8269, prior_entropy: 0.999, recall: 0.8269, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8391, 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: 0.8948, f_measure: 0.806, kappa: 0.6125, kb_relative_information_score: 28.9631, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8141, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7394, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7873, kappa: 0.5744, kb_relative_information_score: 28.8927, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7914, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9028, 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: 0.7222, f_measure: 0.7308, kappa: 0.4607, kb_relative_information_score: 20.7417, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7308, predictive_accuracy: 0.7308, prior_entropy: 0.999, recall: 0.7308, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9694, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.7857, kappa: 0.5731, kb_relative_information_score: 27.811, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7981, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7296, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7873, kappa: 0.5744, kb_relative_information_score: 23.7101, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7914, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8438, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7857, kappa: 0.5731, kb_relative_information_score: 29.9524, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7981, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9205, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.7621, kappa: 0.5322, kb_relative_information_score: 27.9485, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9615, scimark_benchmark: 899.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.806, kappa: 0.6125, kb_relative_information_score: 29.8145, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8141, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8598, scimark_benchmark: 1059.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7885, kappa: 0.5769, kb_relative_information_score: 26.3797, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7892, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8458, scimark_benchmark: 1086.1672, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.744, kappa: 0.494, kb_relative_information_score: 25.9445, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7672, predictive_accuracy: 0.75, prior_entropy: 0.999, recall: 0.75, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0007, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.7621, kappa: 0.5322, kb_relative_information_score: 27.9485, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9615, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.7404, kappa: 0.4925, kb_relative_information_score: 26.3439, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7813, predictive_accuracy: 0.75, prior_entropy: 0.999, recall: 0.75, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9065, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7621, kappa: 0.5322, kb_relative_information_score: 28.3742, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9086, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7404, kappa: 0.4925, kb_relative_information_score: 26.7308, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7813, predictive_accuracy: 0.75, prior_entropy: 0.999, recall: 0.75, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.901, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7621, kappa: 0.5322, kb_relative_information_score: 28.9657, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.4411, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.8989, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7882, kappa: 0.5757, kb_relative_information_score: 14.3144, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7886, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8385, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8846, kappa: 0.7689, kb_relative_information_score: 15.4854, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8846, predictive_accuracy: 0.8846, prior_entropy: 0.999, recall: 0.8846, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7962, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.4595, kappa: 0.0856, kb_relative_information_score: 2.5173, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.6418, predictive_accuracy: 0.5577, prior_entropy: 0.999, recall: 0.5577, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9936, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4089, f_measure: 0.3549, kb_relative_information_score: -0.2277, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.2696, predictive_accuracy: 0.5192, prior_entropy: 0.999, recall: 0.5192, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0033, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.7486, kappa: 0.497, kb_relative_information_score: 25.1653, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7523, predictive_accuracy: 0.75, prior_entropy: 0.999, recall: 0.75, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9809, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.826, kappa: 0.6518, kb_relative_information_score: 32.9417, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8306, predictive_accuracy: 0.8269, prior_entropy: 0.999, recall: 0.8269, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8165, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7685, kappa: 0.5364, kb_relative_information_score: 24.9305, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7702, predictive_accuracy: 0.7692, prior_entropy: 0.999, recall: 0.7692, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9225, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7857, kappa: 0.5731, kb_relative_information_score: 27.8094, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7981, predictive_accuracy: 0.7885, prior_entropy: 0.999, recall: 0.7885, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8895, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.7467, kappa: 0.4955, kb_relative_information_score: 23.9121, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7578, predictive_accuracy: 0.75, prior_entropy: 0.999, recall: 0.75, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7862, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.8077, kappa: 0.6148, kb_relative_information_score: 21.6115, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.999, recall: 0.8077, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9541, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.8654, kappa: 0.7308, kb_relative_information_score: 27.5321, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.8661, predictive_accuracy: 0.8654, prior_entropy: 0.999, recall: 0.8654, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8271, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.744, kappa: 0.494, kb_relative_information_score: 23.5384, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4993, number_of_instances: 52, precision: 0.7672, predictive_accuracy: 0.75, prior_entropy: 0.999, recall: 0.75, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.764, scimark_benchmark: 1873.1108,

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