Task
Supervised Classification on kidney

Supervised Classification on kidney

Task 3808 Supervised Classification kidney 527 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.6963, kappa: 0.3989, kb_relative_information_score: 27.1805, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7072, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5342, root_relative_squared_error: 1.0699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.5936, kappa: 0.2564, kb_relative_information_score: 12.0902, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6814, predictive_accuracy: 0.6184, prior_entropy: 0.9981, recall: 0.6184, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.656, kappa: 0.3101, kb_relative_information_score: 17.4528, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6577, predictive_accuracy: 0.6579, prior_entropy: 0.9981, recall: 0.6579, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.6975, kappa: 0.3956, kb_relative_information_score: 29.8174, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6999, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.1018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7363, kappa: 0.4766, kb_relative_information_score: 37.2395, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.745, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.5139, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.6316, kappa: 0.2611, kb_relative_information_score: 18.213, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6316, predictive_accuracy: 0.6316, prior_entropy: 0.9981, recall: 0.6316, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5463, root_relative_squared_error: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.6789, kappa: 0.377, kb_relative_information_score: 25.273, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7096, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.6708, kappa: 0.3448, kb_relative_information_score: 23.4914, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6763, predictive_accuracy: 0.6711, prior_entropy: 0.9981, recall: 0.6711, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8283, kappa: 0.6555, kb_relative_information_score: 33.0295, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8303, predictive_accuracy: 0.8289, prior_entropy: 0.9981, recall: 0.8289, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.6933, kappa: 0.4022, kb_relative_information_score: 25.284, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7198, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.6971, kappa: 0.3922, kb_relative_information_score: 26.3126, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6971, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7498, kappa: 0.4979, kb_relative_information_score: 28.2958, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7498, predictive_accuracy: 0.75, prior_entropy: 0.9981, recall: 0.75, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7627, kappa: 0.5237, kb_relative_information_score: 39.4223, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7632, predictive_accuracy: 0.7632, prior_entropy: 0.9981, recall: 0.7632, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 23.5637, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.7105, kappa: 0.4194, kb_relative_information_score: 22.041, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7105, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8159, kappa: 0.6316, kb_relative_information_score: 43.4509, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8172, predictive_accuracy: 0.8158, prior_entropy: 0.9981, recall: 0.8158, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.6912, kappa: 0.4038, kb_relative_information_score: 26.9192, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7285, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7105, kappa: 0.4227, kb_relative_information_score: 17.48, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7145, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.6912, kappa: 0.4038, kb_relative_information_score: 26.9192, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7285, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 22.0745, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7238, kappa: 0.4466, kb_relative_information_score: 29.0088, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7242, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8025, kappa: 0.6036, kb_relative_information_score: 23.6825, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8026, predictive_accuracy: 0.8026, prior_entropy: 0.9981, recall: 0.8026, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.363, kb_relative_information_score: -0.0548, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.277, predictive_accuracy: 0.5263, prior_entropy: 0.9981, recall: 0.5263, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7498, kappa: 0.4979, kb_relative_information_score: 27.4387, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7498, predictive_accuracy: 0.75, prior_entropy: 0.9981, recall: 0.75, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7498, kappa: 0.4979, kb_relative_information_score: 27.4387, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7498, predictive_accuracy: 0.75, prior_entropy: 0.9981, recall: 0.75, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.7755, kappa: 0.5495, kb_relative_information_score: 22.1038, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7771, predictive_accuracy: 0.7763, prior_entropy: 0.9981, recall: 0.7763, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.5592, kappa: 0.2073, kb_relative_information_score: 13.7565, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6594, predictive_accuracy: 0.5921, prior_entropy: 0.9981, recall: 0.5921, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7227, kappa: 0.4435, kb_relative_information_score: 31.5504, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7239, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.6789, kappa: 0.377, kb_relative_information_score: 25.2613, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7096, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.6449, kappa: 0.2905, kb_relative_information_score: 15.5215, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6471, predictive_accuracy: 0.6447, prior_entropy: 0.9981, recall: 0.6447, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.5592, kappa: 0.2073, kb_relative_information_score: 13.7565, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6594, predictive_accuracy: 0.5921, prior_entropy: 0.9981, recall: 0.5921, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.2791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.6444, kappa: 0.2924, kb_relative_information_score: 21.7869, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6497, predictive_accuracy: 0.6447, prior_entropy: 0.9981, recall: 0.6447, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.596, root_relative_squared_error: 1.1937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.6789, kappa: 0.377, kb_relative_information_score: 25.144, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7096, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.7761, kappa: 0.5508, kb_relative_information_score: 30.5937, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7762, predictive_accuracy: 0.7763, prior_entropy: 0.9981, recall: 0.7763, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.6933, kappa: 0.4022, kb_relative_information_score: 25.5187, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7198, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7227, kappa: 0.4435, kb_relative_information_score: 31.5504, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7239, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7755, kappa: 0.5495, kb_relative_information_score: 34.1234, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7771, predictive_accuracy: 0.7763, prior_entropy: 0.9981, recall: 0.7763, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.6789, kappa: 0.377, kb_relative_information_score: 25.144, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7096, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.3917, kappa: 0.0292, kb_relative_information_score: 0.6911, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7544, predictive_accuracy: 0.5395, prior_entropy: 0.9981, recall: 0.5395, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7591, kappa: 0.5197, kb_relative_information_score: 32.9017, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7729, predictive_accuracy: 0.7632, prior_entropy: 0.9981, recall: 0.7632, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.7341, kappa: 0.4678, kb_relative_information_score: 35.8402, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7407, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5403, f_measure: 0.5397, kappa: 0.0802, kb_relative_information_score: 5.7261, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.5416, predictive_accuracy: 0.5395, prior_entropy: 0.9981, recall: 0.5395, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6786, root_relative_squared_error: 1.3591, scimark_benchmark: 1280.301, usercpu_time_millis: 70406.25, usercpu_time_millis_training: 70406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 31.825, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.538, root_relative_squared_error: 1.0775, scimark_benchmark: 1280.301, usercpu_time_millis: 890.625, usercpu_time_millis_training: 890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.5621, kappa: 0.2312, kb_relative_information_score: 19.7793, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7833, predictive_accuracy: 0.6316, prior_entropy: 0.9981, recall: 0.6316, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.607, root_relative_squared_error: 1.2156, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.363, kb_relative_information_score: 3.7185, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.277, predictive_accuracy: 0.5263, prior_entropy: 0.9981, recall: 0.5263, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6882, root_relative_squared_error: 1.3784, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.6842, kappa: 0.3702, kb_relative_information_score: 23.1081, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.688, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9773, scimark_benchmark: 1787.9841, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.6842, kappa: 0.3702, kb_relative_information_score: 23.1081, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.688, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9773, scimark_benchmark: 1375.4243, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.363, kb_relative_information_score: 3.7185, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.277, predictive_accuracy: 0.5263, prior_entropy: 0.9981, recall: 0.5263, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6882, root_relative_squared_error: 1.3784, scimark_benchmark: 1621.6992, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.5621, kappa: 0.2312, kb_relative_information_score: 19.7793, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7833, predictive_accuracy: 0.6316, prior_entropy: 0.9981, recall: 0.6316, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.607, root_relative_squared_error: 1.2156, scimark_benchmark: 1348.3788, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5403, f_measure: 0.5397, kappa: 0.0802, kb_relative_information_score: 5.7261, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.5416, predictive_accuracy: 0.5395, prior_entropy: 0.9981, recall: 0.5395, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6786, root_relative_squared_error: 1.3591, scimark_benchmark: 1378.1864, usercpu_time_millis: 4910, usercpu_time_millis_training: 4910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7895, kappa: 0.5801, kb_relative_information_score: 39.4853, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7939, predictive_accuracy: 0.7895, prior_entropy: 0.9981, recall: 0.7895, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9188, scimark_benchmark: 1671.2677, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 31.825, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.538, root_relative_squared_error: 1.0775, scimark_benchmark: 1551.603, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7363, kappa: 0.4708, kb_relative_information_score: 32.4282, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7368, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9667, scimark_benchmark: 1401.2318, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.7368, kappa: 0.4722, kb_relative_information_score: 29.561, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7368, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9304, scimark_benchmark: 1060.9535, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.6789, kappa: 0.377, kb_relative_information_score: 25.144, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7096, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.924, scimark_benchmark: 1307.7361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6844, kappa: 0.3684, kb_relative_information_score: 22.3007, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6856, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9823, scimark_benchmark: 1285.5811, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.7105, kappa: 0.4227, kb_relative_information_score: 24.6027, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7145, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9057, scimark_benchmark: 1298.2128, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7238, kappa: 0.4481, kb_relative_information_score: 33.1278, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7262, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0381, scimark_benchmark: 1321.5645, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7896, kappa: 0.5789, kb_relative_information_score: 41.1778, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7909, predictive_accuracy: 0.7895, prior_entropy: 0.9981, recall: 0.7895, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8325, scimark_benchmark: 1184.369, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6581, kappa: 0.3158, kb_relative_information_score: 18.6816, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6593, predictive_accuracy: 0.6579, prior_entropy: 0.9981, recall: 0.6579, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0055, scimark_benchmark: 570.8496, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.6572, kappa: 0.3196, kb_relative_information_score: 23.7946, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6648, predictive_accuracy: 0.6579, prior_entropy: 0.9981, recall: 0.6579, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5849, root_relative_squared_error: 1.1714, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.7368, kappa: 0.4751, kb_relative_information_score: 35.8402, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7409, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0274, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7234, kappa: 0.4451, kb_relative_information_score: 28.2898, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7235, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8904, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7755, kappa: 0.5495, kb_relative_information_score: 32.9164, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7771, predictive_accuracy: 0.7763, prior_entropy: 0.9981, recall: 0.7763, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7703, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.6789, kappa: 0.377, kb_relative_information_score: 25.273, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7096, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9256, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7363, kappa: 0.4708, kb_relative_information_score: 32.9715, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7368, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8942, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.6789, kappa: 0.377, kb_relative_information_score: 25.144, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7096, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.924, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.6572, kappa: 0.3196, kb_relative_information_score: 23.7946, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6648, predictive_accuracy: 0.6579, prior_entropy: 0.9981, recall: 0.6579, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5849, root_relative_squared_error: 1.1714, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.7368, kappa: 0.4751, kb_relative_information_score: 35.8402, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7409, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0274, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6844, kappa: 0.3684, kb_relative_information_score: 22.3318, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6856, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9828, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.7105, kappa: 0.4227, kb_relative_information_score: 24.6027, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7145, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9057, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7238, kappa: 0.4481, kb_relative_information_score: 33.1278, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7262, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0381, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7896, kappa: 0.5789, kb_relative_information_score: 41.1778, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7909, predictive_accuracy: 0.7895, prior_entropy: 0.9981, recall: 0.7895, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8325, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6434, kappa: 0.2944, kb_relative_information_score: 17.0397, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6532, predictive_accuracy: 0.6447, prior_entropy: 0.9981, recall: 0.6447, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9989, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7234, kappa: 0.4451, kb_relative_information_score: 28.2898, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7235, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8904, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.7883, kappa: 0.5754, kb_relative_information_score: 34.0604, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7916, predictive_accuracy: 0.7895, prior_entropy: 0.9981, recall: 0.7895, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7586, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.6789, kappa: 0.377, kb_relative_information_score: 25.273, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7096, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9256, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7363, kappa: 0.4708, kb_relative_information_score: 32.9715, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7368, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8942, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.7105, kappa: 0.4227, kb_relative_information_score: 24.6027, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7145, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9057, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.6971, kappa: 0.3922, kb_relative_information_score: 26.3126, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6971, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9605, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6844, kappa: 0.3684, kb_relative_information_score: 22.3007, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6856, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.982, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7896, kappa: 0.5789, kb_relative_information_score: 41.1778, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7909, predictive_accuracy: 0.7895, prior_entropy: 0.9981, recall: 0.7895, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8325, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.7896, kappa: 0.5789, kb_relative_information_score: 41.1778, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7909, predictive_accuracy: 0.7895, prior_entropy: 0.9981, recall: 0.7895, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8325, 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: 0.8424, f_measure: 0.7501, kappa: 0.5007, kb_relative_information_score: 36.1376, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7526, predictive_accuracy: 0.75, prior_entropy: 0.9981, recall: 0.75, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8178, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.6316, kappa: 0.2652, kb_relative_information_score: 13.1774, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6351, predictive_accuracy: 0.6316, prior_entropy: 0.9981, recall: 0.6316, relative_absolute_error: 0.8417, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.0149, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.6615, kappa: 0.3537, kb_relative_information_score: 17.6972, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.709, predictive_accuracy: 0.6711, prior_entropy: 0.9981, recall: 0.6711, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.913, 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: 0.7076, f_measure: 0.6809, kappa: 0.3753, kb_relative_information_score: 17.0006, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7021, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9163, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.5375, kappa: 0.1538, kb_relative_information_score: 9.7413, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6094, predictive_accuracy: 0.5658, prior_entropy: 0.9981, recall: 0.5658, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6589, root_relative_squared_error: 1.3197, 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: 0.6333, f_measure: 0.6316, kappa: 0.2652, kb_relative_information_score: 19.7793, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6351, predictive_accuracy: 0.6316, prior_entropy: 0.9981, recall: 0.6316, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.607, root_relative_squared_error: 1.2156, scimark_benchmark: 1517.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.6971, kappa: 0.3922, kb_relative_information_score: 26.3126, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6971, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9605, scimark_benchmark: 1011.7942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.6712, kappa: 0.3412, kb_relative_information_score: 17.1723, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6716, predictive_accuracy: 0.6711, prior_entropy: 0.9981, recall: 0.6711, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9256, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.6188, kappa: 0.2486, kb_relative_information_score: 17.747, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6397, predictive_accuracy: 0.6316, prior_entropy: 0.9981, recall: 0.6316, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5466, root_relative_squared_error: 1.0946, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.7056, kappa: 0.4129, kb_relative_information_score: 30.4984, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7171, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9221, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.6708, kappa: 0.3394, kb_relative_information_score: 11.665, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6707, predictive_accuracy: 0.6711, prior_entropy: 0.9981, recall: 0.6711, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9377, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.6971, kappa: 0.3922, kb_relative_information_score: 20.8809, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6971, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9436, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.7755, kappa: 0.5495, kb_relative_information_score: 22.1038, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7771, predictive_accuracy: 0.7763, prior_entropy: 0.9981, recall: 0.7763, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8894, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.6521, kappa: 0.3251, kb_relative_information_score: 23.7946, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6809, predictive_accuracy: 0.6579, prior_entropy: 0.9981, recall: 0.6579, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5849, root_relative_squared_error: 1.1714, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.7368, kappa: 0.4751, kb_relative_information_score: 35.8402, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7409, predictive_accuracy: 0.7368, prior_entropy: 0.9981, recall: 0.7368, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0274, scimark_benchmark: 1870.7932,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs