OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131650 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7622, kappa: 0.4726, kb_relative_information_score: 264.2378, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.761, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8409, scimark_benchmark: 1300.7345, usercpu_time_millis: 21.352, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 20.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7588, kappa: 0.4599, kb_relative_information_score: 236.7092, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8301, scimark_benchmark: 1315.6233, usercpu_time_millis: 17.454, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 16.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.758, kappa: 0.4583, kb_relative_information_score: 209.4882, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7585, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8412, scimark_benchmark: 1307.5193, usercpu_time_millis: 30.057, usercpu_time_millis_testing: 3.436, usercpu_time_millis_training: 26.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7583, kappa: 0.4593, kb_relative_information_score: 236.1396, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7585, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8294, scimark_benchmark: 1311.2198, usercpu_time_millis: 2.346, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 2.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7416, kappa: 0.4186, kb_relative_information_score: 167.283, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7478, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8609, scimark_benchmark: 1292.013, usercpu_time_millis: 2.919, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 2.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7204, kappa: 0.3716, kb_relative_information_score: 153.0978, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7225, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8949, scimark_benchmark: 1312.3822, usercpu_time_millis: 5.157, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 4.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7636, kappa: 0.4713, kb_relative_information_score: 235.9989, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.827, scimark_benchmark: 1306.1333, usercpu_time_millis: 4.929, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 4.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.771, kappa: 0.4917, kb_relative_information_score: 256.3949, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.77, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8371, scimark_benchmark: 1300.5255, usercpu_time_millis: 50.407, usercpu_time_millis_testing: 3.108, usercpu_time_millis_training: 47.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7594, kappa: 0.4645, kb_relative_information_score: 254.9428, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.833, scimark_benchmark: 1304.3913, usercpu_time_millis: 4.552, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 4.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7577, kappa: 0.4602, kb_relative_information_score: 251.8561, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7567, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.826, scimark_benchmark: 1309.0318, usercpu_time_millis: 10.048, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 9.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7745, kappa: 0.4972, kb_relative_information_score: 243.0709, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7741, predictive_accuracy: 0.7786, prior_entropy: 0.9335, recall: 0.7786, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1302.1343, usercpu_time_millis: 14.137, usercpu_time_millis_testing: 1.345, usercpu_time_millis_training: 12.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7663, kappa: 0.4785, kb_relative_information_score: 237.0598, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7658, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, scimark_benchmark: 1310.0948, usercpu_time_millis: 28.145, usercpu_time_millis_testing: 3.063, usercpu_time_millis_training: 25.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7568, kappa: 0.4587, kb_relative_information_score: 258.8046, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8282, scimark_benchmark: 1302.2155, usercpu_time_millis: 30.34, usercpu_time_millis_testing: 2.071, usercpu_time_millis_training: 28.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7396, kappa: 0.4139, kb_relative_information_score: 179.0975, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7466, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.787, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8638, scimark_benchmark: 1299.0964, usercpu_time_millis: 0.96, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: 0.3767, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1316.0264, usercpu_time_millis: 2.795, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 2.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7429, kappa: 0.433, kb_relative_information_score: 260.6937, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7424, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8685, scimark_benchmark: 1302.2123, usercpu_time_millis: 87.943, usercpu_time_millis_testing: 5.328, usercpu_time_millis_training: 82.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7615, kappa: 0.4641, kb_relative_information_score: 199.5677, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7659, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8424, scimark_benchmark: 1303.3709, usercpu_time_millis: 20.139, usercpu_time_millis_testing: 2.314, usercpu_time_millis_training: 17.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0372, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1317.5179, usercpu_time_millis: 3.751, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 3.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7467, kappa: 0.4317, kb_relative_information_score: 197.2544, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7485, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8475, scimark_benchmark: 1310.6853, usercpu_time_millis: 4.496, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 4.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5134, kb_relative_information_score: 0.029, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1313.5227, usercpu_time_millis: 1.843, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7084, kappa: 0.3452, kb_relative_information_score: 129.7884, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7429, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8848, scimark_benchmark: 1300.1636, usercpu_time_millis: 0.927, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7614, kappa: 0.4698, kb_relative_information_score: 265.1938, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7603, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8353, scimark_benchmark: 1316.6563, usercpu_time_millis: 13.766, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 13.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 248.3955, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8288, scimark_benchmark: 1295.4218, usercpu_time_millis: 16.645, usercpu_time_millis_testing: 1.408, usercpu_time_millis_training: 15.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7614, kappa: 0.4645, kb_relative_information_score: 199.8606, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8432, scimark_benchmark: 1311.3517, usercpu_time_millis: 33.014, usercpu_time_millis_testing: 3.421, usercpu_time_millis_training: 29.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7672, kappa: 0.4801, kb_relative_information_score: 245.8105, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8271, scimark_benchmark: 1313.0298, usercpu_time_millis: 29.434, usercpu_time_millis_testing: 2.282, usercpu_time_millis_training: 27.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.7525, kappa: 0.4443, kb_relative_information_score: 0.4542, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.7111, kappa: 0.3617, kb_relative_information_score: 0.3409, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7101, predictive_accuracy: 0.7122, prior_entropy: 0.9331, recall: 0.7122, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.1254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.5158, kappa: 0.0022, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5986, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.7612, kappa: 0.4627, kb_relative_information_score: 0.4781, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7683, predictive_accuracy: 0.7721, prior_entropy: 0.9331, recall: 0.7721, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.7669, kappa: 0.4763, kb_relative_information_score: 0.487, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7717, predictive_accuracy: 0.776, prior_entropy: 0.9331, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.7433, kappa: 0.4282, kb_relative_information_score: 0.4214, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7419, predictive_accuracy: 0.7474, prior_entropy: 0.9331, recall: 0.7474, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.6762, kappa: 0.2732, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6743, predictive_accuracy: 0.6875, prior_entropy: 0.9331, recall: 0.6875, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7681, kappa: 0.4788, kb_relative_information_score: 0.49, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7733, predictive_accuracy: 0.7773, prior_entropy: 0.9331, recall: 0.7773, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.7588, kappa: 0.4571, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7675, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.6892, kappa: 0.3091, kb_relative_information_score: 0.3886, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7331, prior_entropy: 0.9331, recall: 0.7331, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3242, f_measure: 0.3873, kappa: -0.3552, kb_relative_information_score: -0.3957, mean_absolute_error: 0.6094, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.384, predictive_accuracy: 0.3906, prior_entropy: 0.9331, recall: 0.3906, relative_absolute_error: 1.3408, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7806, root_relative_squared_error: 1.6378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.749, kappa: 0.4368, kb_relative_information_score: 0.4453, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7513, predictive_accuracy: 0.7578, prior_entropy: 0.9331, recall: 0.7578, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.7657, kappa: 0.4737, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7702, predictive_accuracy: 0.7747, prior_entropy: 0.9331, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3428, f_measure: 0.4026, kappa: -0.3142, kb_relative_information_score: -0.3689, mean_absolute_error: 0.5977, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4029, predictive_accuracy: 0.4023, prior_entropy: 0.9331, recall: 0.4023, relative_absolute_error: 1.315, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7731, root_relative_squared_error: 1.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.6724, kappa: 0.2803, kb_relative_information_score: 0.2484, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.673, predictive_accuracy: 0.6719, prior_entropy: 0.9331, recall: 0.6719, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.623, kappa: 0.1718, kb_relative_information_score: 0.1351, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6237, predictive_accuracy: 0.6224, prior_entropy: 0.9331, recall: 0.6224, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6145, root_relative_squared_error: 1.2892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5152, kappa: -0.0003, kb_relative_information_score: 0.1977, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5401, predictive_accuracy: 0.6497, prior_entropy: 0.9331, recall: 0.6497, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5918, root_relative_squared_error: 1.2417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.7134, kappa: 0.3664, kb_relative_information_score: 0.3469, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7123, predictive_accuracy: 0.7148, prior_entropy: 0.9331, recall: 0.7148, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.534, root_relative_squared_error: 1.1203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.7557, kappa: 0.4504, kb_relative_information_score: 0.4662, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7624, predictive_accuracy: 0.7669, prior_entropy: 0.9331, recall: 0.7669, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.758, kappa: 0.4555, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7695, prior_entropy: 0.9331, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.7592, kappa: 0.4586, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7695, prior_entropy: 0.9331, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.7611, kappa: 0.4631, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7661, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.7459, kappa: 0.4341, kb_relative_information_score: 0.4274, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7446, predictive_accuracy: 0.75, prior_entropy: 0.9331, recall: 0.75, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.7635, kappa: 0.4682, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7692, predictive_accuracy: 0.7734, prior_entropy: 0.9331, recall: 0.7734, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.7459, kappa: 0.4341, kb_relative_information_score: 0.4274, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7446, predictive_accuracy: 0.75, prior_entropy: 0.9331, recall: 0.75, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7614, kappa: 0.4645, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9331, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.6619, kappa: 0.2516, kb_relative_information_score: 0.2306, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6601, predictive_accuracy: 0.6641, prior_entropy: 0.9331, recall: 0.6641, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5796, root_relative_squared_error: 1.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.7474, kappa: 0.4338, kb_relative_information_score: 0.4393, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7485, predictive_accuracy: 0.7552, prior_entropy: 0.9331, recall: 0.7552, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.6609, kappa: 0.2523, kb_relative_information_score: 0.2246, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6603, predictive_accuracy: 0.6615, prior_entropy: 0.9331, recall: 0.6615, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.2207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6678, kappa: 0.2686, kb_relative_information_score: 0.2395, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6677, predictive_accuracy: 0.668, prior_entropy: 0.9331, recall: 0.668, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.2089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.7541, kappa: 0.4499, kb_relative_information_score: 0.4512, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7543, predictive_accuracy: 0.7604, prior_entropy: 0.9331, recall: 0.7604, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.6971, kappa: 0.3317, kb_relative_information_score: 0.3081, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6964, predictive_accuracy: 0.6979, prior_entropy: 0.9331, recall: 0.6979, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5496, root_relative_squared_error: 1.1531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.688, kappa: 0.3146, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6886, predictive_accuracy: 0.6875, prior_entropy: 0.9331, recall: 0.6875, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.7399, kappa: 0.4185, kb_relative_information_score: 0.4184, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7393, predictive_accuracy: 0.7461, prior_entropy: 0.9331, recall: 0.7461, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7543, kappa: 0.4494, kb_relative_information_score: 0.4542, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7556, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7607, kappa: 0.4625, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7643, predictive_accuracy: 0.7695, prior_entropy: 0.9331, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.6895, kappa: 0.3181, kb_relative_information_score: 0.2872, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6902, predictive_accuracy: 0.6888, prior_entropy: 0.9331, recall: 0.6888, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5579, root_relative_squared_error: 1.1704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.6909, kappa: 0.3215, kb_relative_information_score: 0.2902, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6917, predictive_accuracy: 0.6901, prior_entropy: 0.9331, recall: 0.6901, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5567, root_relative_squared_error: 1.1679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.7615, kappa: 0.4637, kb_relative_information_score: 0.4781, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7681, predictive_accuracy: 0.7721, prior_entropy: 0.9331, recall: 0.7721, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.7654, kappa: 0.4727, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7704, predictive_accuracy: 0.7747, prior_entropy: 0.9331, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.7618, kappa: 0.4651, kb_relative_information_score: 0.4751, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7658, predictive_accuracy: 0.7708, prior_entropy: 0.9331, recall: 0.7708, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7693, kappa: 0.4814, kb_relative_information_score: 0.493, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7748, predictive_accuracy: 0.7786, prior_entropy: 0.9331, recall: 0.7786, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.7126, kappa: 0.363, kb_relative_information_score: 0.3469, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.711, predictive_accuracy: 0.7148, prior_entropy: 0.9331, recall: 0.7148, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.534, root_relative_squared_error: 1.1203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7486, kappa: 0.4385, kb_relative_information_score: 0.4363, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7479, predictive_accuracy: 0.7539, prior_entropy: 0.9331, recall: 0.7539, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7345, kappa: 0.4109, kb_relative_information_score: 0.3976, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.733, predictive_accuracy: 0.737, prior_entropy: 0.9331, recall: 0.737, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7574, kappa: 0.4578, kb_relative_information_score: 0.4572, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.763, prior_entropy: 0.9331, recall: 0.763, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.7491, kappa: 0.4389, kb_relative_information_score: 0.4393, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7489, predictive_accuracy: 0.7552, prior_entropy: 0.9331, recall: 0.7552, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7561, kappa: 0.4509, kb_relative_information_score: 0.4691, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7645, predictive_accuracy: 0.7682, prior_entropy: 0.9331, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7216, kappa: 0.3829, kb_relative_information_score: 0.3677, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7201, predictive_accuracy: 0.724, prior_entropy: 0.9331, recall: 0.724, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.1023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.6942, kappa: 0.3248, kb_relative_information_score: 0.3021, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6933, predictive_accuracy: 0.6953, prior_entropy: 0.9331, recall: 0.6953, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.552, root_relative_squared_error: 1.1581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.7471, kappa: 0.4366, kb_relative_information_score: 0.4304, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7459, predictive_accuracy: 0.7513, prior_entropy: 0.9331, recall: 0.7513, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.7596, kappa: 0.4596, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7647, predictive_accuracy: 0.7695, prior_entropy: 0.9331, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.7506, kappa: 0.4392, kb_relative_information_score: 0.4542, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7563, predictive_accuracy: 0.7617, prior_entropy: 0.9331, recall: 0.7617, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.6619, kappa: 0.2516, kb_relative_information_score: 0.2306, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6601, predictive_accuracy: 0.6641, prior_entropy: 0.9331, recall: 0.6641, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5796, root_relative_squared_error: 1.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.7585, kappa: 0.4589, kb_relative_information_score: 0.4632, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7656, prior_entropy: 0.9331, recall: 0.7656, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 0.4691, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9331, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6018, f_measure: 0.6388, kappa: 0.2041, kb_relative_information_score: 0.1739, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6384, predictive_accuracy: 0.6393, prior_entropy: 0.9331, recall: 0.6393, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6006, root_relative_squared_error: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.7665, kappa: 0.4753, kb_relative_information_score: 0.487, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7719, predictive_accuracy: 0.776, prior_entropy: 0.9331, recall: 0.776, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2007, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9331, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.6869, kappa: 0.3098, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6864, predictive_accuracy: 0.6875, prior_entropy: 0.9331, recall: 0.6875, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7541, kappa: 0.4468, kb_relative_information_score: 0.4632, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.761, predictive_accuracy: 0.7656, prior_entropy: 0.9331, recall: 0.7656, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7227, kappa: 0.3872, kb_relative_information_score: 0.3677, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7217, predictive_accuracy: 0.724, prior_entropy: 0.9331, recall: 0.724, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.1023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, f_measure: 0.7499, kappa: 0.4377, kb_relative_information_score: 0.4512, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7546, predictive_accuracy: 0.7604, prior_entropy: 0.9331, recall: 0.7604, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.7463, kappa: 0.4307, kb_relative_information_score: 0.4393, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7485, predictive_accuracy: 0.7552, prior_entropy: 0.9331, recall: 0.7552, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.7592, kappa: 0.4586, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7649, predictive_accuracy: 0.7695, prior_entropy: 0.9331, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.7599, kappa: 0.4606, kb_relative_information_score: 0.4721, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7646, predictive_accuracy: 0.7695, prior_entropy: 0.9331, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.7627, kappa: 0.4666, kb_relative_information_score: 0.4781, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7675, predictive_accuracy: 0.7721, prior_entropy: 0.9331, recall: 0.7721, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.5283, kappa: 0.0242, kb_relative_information_score: 0.2156, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7756, predictive_accuracy: 0.6576, prior_entropy: 0.9331, recall: 0.6576, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5852, root_relative_squared_error: 1.2277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, f_measure: 0.6782, kappa: 0.2782, kb_relative_information_score: 0.2872, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6762, predictive_accuracy: 0.6888, prior_entropy: 0.9331, recall: 0.6888, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5579, root_relative_squared_error: 1.1704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.7654, kappa: 0.4727, kb_relative_information_score: 0.4841, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7704, predictive_accuracy: 0.7747, prior_entropy: 0.9331, recall: 0.7747, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.7526, kappa: 0.4464, kb_relative_information_score: 0.4483, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7529, predictive_accuracy: 0.7591, prior_entropy: 0.9331, recall: 0.7591, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.7473, kappa: 0.4344, kb_relative_information_score: 0.4363, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7473, predictive_accuracy: 0.7539, prior_entropy: 0.9331, recall: 0.7539, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0408,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs