OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131650 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7316, kappa: 0.3951, kb_relative_information_score: 141.4456, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7443, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8807, scimark_benchmark: 1298.5136, usercpu_time_millis: 9.329, usercpu_time_millis_testing: 1.019, usercpu_time_millis_training: 8.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7664, kappa: 0.4806, kb_relative_information_score: 250.9111, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8363, scimark_benchmark: 1289.39, usercpu_time_millis: 37.679, usercpu_time_millis_testing: 2.979, usercpu_time_millis_training: 34.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7645, kappa: 0.4728, kb_relative_information_score: 240.4516, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8295, scimark_benchmark: 1284.6834, usercpu_time_millis: 14.002, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 12.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7669, kappa: 0.4791, kb_relative_information_score: 241.0679, mean_absolute_error: 0.319, 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: 0.7018, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8268, scimark_benchmark: 1288.6291, usercpu_time_millis: 15.841, usercpu_time_millis_testing: 1.516, usercpu_time_millis_training: 14.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.725, kappa: 0.3808, kb_relative_information_score: 142.8118, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7318, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8807, scimark_benchmark: 1291.8184, usercpu_time_millis: 6.675, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 5.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7695, kappa: 0.4863, kb_relative_information_score: 242.963, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7688, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8288, scimark_benchmark: 1288.3938, usercpu_time_millis: 27.967, usercpu_time_millis_testing: 2.771, usercpu_time_millis_training: 25.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7291, kappa: 0.3897, kb_relative_information_score: 145.8061, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7385, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8881, scimark_benchmark: 1289.3056, usercpu_time_millis: 5.146, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 4.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7624, kappa: 0.4674, kb_relative_information_score: 210.6555, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.84, scimark_benchmark: 1295.4667, usercpu_time_millis: 25.9, usercpu_time_millis_testing: 3.157, usercpu_time_millis_training: 22.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7117, kappa: 0.3553, kb_relative_information_score: 141.079, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7102, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9179, scimark_benchmark: 1283.297, usercpu_time_millis: 8.652, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 7.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7669, kappa: 0.4791, kb_relative_information_score: 242.2196, mean_absolute_error: 0.3179, 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: 0.6995, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8312, scimark_benchmark: 1290.6277, usercpu_time_millis: 11.371, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 10.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.5134, kb_relative_information_score: -4.7534, mean_absolute_error: 0.4555, 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: 1.0022, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0003, scimark_benchmark: 1284.6008, usercpu_time_millis: 0.124, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7675, kappa: 0.481, kb_relative_information_score: 248.761, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7671, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8272, scimark_benchmark: 1283.5127, usercpu_time_millis: 35.961, usercpu_time_millis_testing: 3.177, usercpu_time_millis_training: 32.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7491, kappa: 0.4356, kb_relative_information_score: 185.0575, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8482, scimark_benchmark: 1289.8333, usercpu_time_millis: 6.157, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 5.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7615, kappa: 0.4685, kb_relative_information_score: 253.7877, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7607, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.829, scimark_benchmark: 1289.709, usercpu_time_millis: 25.698, usercpu_time_millis_testing: 1.526, usercpu_time_millis_training: 24.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.771, kappa: 0.4917, kb_relative_information_score: 254.651, mean_absolute_error: 0.3076, 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: 0.6767, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8366, scimark_benchmark: 1292.033, usercpu_time_millis: 23.491, usercpu_time_millis_testing: 1.367, usercpu_time_millis_training: 22.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7678, kappa: 0.4819, kb_relative_information_score: 237.2854, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7673, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317, scimark_benchmark: 1292.565, usercpu_time_millis: 37.817, usercpu_time_millis_testing: 3.637, usercpu_time_millis_training: 34.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7598, kappa: 0.461, kb_relative_information_score: 203.8426, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7527, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8419, scimark_benchmark: 1284.314, usercpu_time_millis: 19.837, usercpu_time_millis_testing: 2.333, usercpu_time_millis_training: 17.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7499, kappa: 0.4404, kb_relative_information_score: 203.1744, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7501, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8496, scimark_benchmark: 1281.6396, usercpu_time_millis: 2.057, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0864, 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: 1287.6299, usercpu_time_millis: 6.58, usercpu_time_millis_testing: 1.036, usercpu_time_millis_training: 5.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7287, kappa: 0.3892, kb_relative_information_score: 162.1068, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7346, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8803, scimark_benchmark: 1289.3197, usercpu_time_millis: 10.672, usercpu_time_millis_testing: 1.36, usercpu_time_millis_training: 9.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.763, kappa: 0.4707, kb_relative_information_score: 239.4765, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7629, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 1293.9437, usercpu_time_millis: 30.137, usercpu_time_millis_testing: 2.627, usercpu_time_millis_training: 27.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7458, kappa: 0.4309, kb_relative_information_score: 229.0238, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7459, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8309, scimark_benchmark: 1287.0773, usercpu_time_millis: 12.515, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 11.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.763, kappa: 0.472, kb_relative_information_score: 249.3434, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7621, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8338, scimark_benchmark: 1291.574, usercpu_time_millis: 11.641, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 10.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 225.8708, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8299, scimark_benchmark: 1292.8826, usercpu_time_millis: 23.206, usercpu_time_millis_testing: 2.361, usercpu_time_millis_training: 20.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7573, kappa: 0.4564, kb_relative_information_score: 232.6616, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.834, scimark_benchmark: 1286.7803, usercpu_time_millis: 8.369, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 7.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7183, kappa: 0.3655, kb_relative_information_score: 147.6842, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7385, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8731, scimark_benchmark: 1288.5286, usercpu_time_millis: 0.261, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.0587, 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: 1292.2687, usercpu_time_millis: 6.474, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 5.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5134, kb_relative_information_score: 0.2278, mean_absolute_error: 0.4543, 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: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1284.2339, usercpu_time_millis: 2.94, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 2.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7447, kappa: 0.4252, kb_relative_information_score: 170.2415, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7528, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8586, scimark_benchmark: 1285.6959, usercpu_time_millis: 1.504, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7663, kappa: 0.4772, kb_relative_information_score: 238.8754, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.8278, scimark_benchmark: 1284.2524, usercpu_time_millis: 30.895, usercpu_time_millis_testing: 2.908, usercpu_time_millis_training: 27.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 217.1295, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8409, scimark_benchmark: 1288.3272, usercpu_time_millis: 6.345, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 5.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7624, kappa: 0.4688, kb_relative_information_score: 212.321, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8425, scimark_benchmark: 1292.6405, usercpu_time_millis: 37.504, usercpu_time_millis_testing: 4.348, usercpu_time_millis_training: 33.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7772, kappa: 0.5031, kb_relative_information_score: 242.5158, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7768, predictive_accuracy: 0.7813, prior_entropy: 0.9335, recall: 0.7813, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8331, scimark_benchmark: 1289.1601, usercpu_time_millis: 48.746, usercpu_time_millis_testing: 4.984, usercpu_time_millis_training: 43.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7479, kappa: 0.4342, kb_relative_information_score: 204.5881, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7499, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8501, scimark_benchmark: 1297.0089, usercpu_time_millis: 2.717, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 2.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7387, kappa: 0.4113, kb_relative_information_score: 158.1139, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7519, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8634, scimark_benchmark: 1293.1131, usercpu_time_millis: 7.92, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 6.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7506, kappa: 0.4403, kb_relative_information_score: 209.1519, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7527, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8389, scimark_benchmark: 1279.5613, usercpu_time_millis: 16.083, usercpu_time_millis_testing: 1.275, usercpu_time_millis_training: 14.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 250.0157, mean_absolute_error: 0.3122, 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: 0.6869, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8293, scimark_benchmark: 1283.8685, usercpu_time_millis: 40.943, usercpu_time_millis_testing: 3.404, usercpu_time_millis_training: 37.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7733, kappa: 0.4947, kb_relative_information_score: 249.3519, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7728, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8278, scimark_benchmark: 1296.9919, usercpu_time_millis: 15.92, usercpu_time_millis_testing: 1.739, usercpu_time_millis_training: 14.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0723, 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: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1284.5426, usercpu_time_millis: 4.306, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 3.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.677, kappa: 0.2821, kb_relative_information_score: 116.109, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7398, predictive_accuracy: 0.7227, prior_entropy: 0.9335, recall: 0.7227, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8942, scimark_benchmark: 1290.3608, usercpu_time_millis: 6.293, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 5.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7254, kappa: 0.3812, kb_relative_information_score: 134.7161, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.736, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.8484, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8922, scimark_benchmark: 1295.8578, usercpu_time_millis: 1.644, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5134, kb_relative_information_score: -0.2234, mean_absolute_error: 0.4545, 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: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1287.1904, usercpu_time_millis: 0.795, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.763, kappa: 0.4693, kb_relative_information_score: 230.0186, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8304, scimark_benchmark: 1288.8096, usercpu_time_millis: 15.106, usercpu_time_millis_testing: 1.662, usercpu_time_millis_training: 13.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7691, kappa: 0.4865, kb_relative_information_score: 255.3258, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7681, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, scimark_benchmark: 1287.2097, usercpu_time_millis: 10.747, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 10.077,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7488, kappa: 0.4379, kb_relative_information_score: 222.9318, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7488, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.836, scimark_benchmark: 1286.0279, usercpu_time_millis: 3.866, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 3.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7684, kappa: 0.4859, kb_relative_information_score: 264.1404, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7673, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8365, scimark_benchmark: 1288.2452, usercpu_time_millis: 36.005, usercpu_time_millis_testing: 3.049, usercpu_time_millis_training: 32.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.768, kappa: 0.4828, kb_relative_information_score: 250.4572, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7674, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8373, scimark_benchmark: 1287.1092, usercpu_time_millis: 6.97, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 6.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.7313, kappa: 0.3953, kb_relative_information_score: 126.9335, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8886, scimark_benchmark: 1295.9952, usercpu_time_millis: 8.88, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 7.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7537, kappa: 0.4468, kb_relative_information_score: 197.94, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7572, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8448, scimark_benchmark: 1292.2031, usercpu_time_millis: 12.844, usercpu_time_millis_testing: 1.554, usercpu_time_millis_training: 11.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7447, kappa: 0.4278, kb_relative_information_score: 195.6803, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7457, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8533, scimark_benchmark: 1287.7321, usercpu_time_millis: 7.945, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 7.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7657, kappa: 0.4779, kb_relative_information_score: 246.0105, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7648, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8321, scimark_benchmark: 1276.0677, usercpu_time_millis: 35.793, usercpu_time_millis_testing: 3.359, usercpu_time_millis_training: 32.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.7415, kappa: 0.4296, kb_relative_information_score: 258.2789, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7409, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8719, scimark_benchmark: 1266.795, usercpu_time_millis: 36.527, usercpu_time_millis_testing: 3.008, usercpu_time_millis_training: 33.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 258.4089, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8271, scimark_benchmark: 1278.0318, usercpu_time_millis: 30.414, usercpu_time_millis_testing: 2.586, usercpu_time_millis_training: 27.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7393, kappa: 0.4136, kb_relative_information_score: 182.9867, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7447, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.852, scimark_benchmark: 1273.9829, usercpu_time_millis: 1.45, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7653, kappa: 0.4782, kb_relative_information_score: 252.748, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8336, scimark_benchmark: 1267.8125, usercpu_time_millis: 59.911, usercpu_time_millis_testing: 4.517, usercpu_time_millis_training: 55.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.7603, kappa: 0.4634, kb_relative_information_score: 231.7519, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7612, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8311, scimark_benchmark: 1269.4594, usercpu_time_millis: 17.02, usercpu_time_millis_testing: 1.613, usercpu_time_millis_training: 15.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7663, kappa: 0.4785, kb_relative_information_score: 250.8135, mean_absolute_error: 0.3116, 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: 0.6857, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8289, scimark_benchmark: 1280.4154, usercpu_time_millis: 42.693, usercpu_time_millis_testing: 3.555, usercpu_time_millis_training: 39.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7679, kappa: 0.484, kb_relative_information_score: 252.5301, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8337, scimark_benchmark: 1272.7585, usercpu_time_millis: 59.465, usercpu_time_millis_testing: 3.897, usercpu_time_millis_training: 55.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7523, kappa: 0.4454, kb_relative_information_score: 205.7847, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7528, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8511, scimark_benchmark: 1291.5897, usercpu_time_millis: 5.215, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 4.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.766, kappa: 0.4763, kb_relative_information_score: 236.1805, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7668, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.8274, scimark_benchmark: 1293.6852, usercpu_time_millis: 22.283, usercpu_time_millis_testing: 1.942, usercpu_time_millis_training: 20.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.772, kappa: 0.4933, kb_relative_information_score: 258.2927, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8334, scimark_benchmark: 1296.1604, usercpu_time_millis: 5.543, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 5.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7693, kappa: 0.4874, kb_relative_information_score: 253.5792, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7683, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8343, scimark_benchmark: 1268.7292, usercpu_time_millis: 35.593, usercpu_time_millis_testing: 3.117, usercpu_time_millis_training: 32.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7712, kappa: 0.4906, kb_relative_information_score: 238.3616, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7704, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8347, scimark_benchmark: 1289.4333, usercpu_time_millis: 31.343, usercpu_time_millis_testing: 3.06, usercpu_time_millis_training: 28.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7739, kappa: 0.4984, kb_relative_information_score: 257.542, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7729, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8339, scimark_benchmark: 1290.19, usercpu_time_millis: 37.985, usercpu_time_millis_testing: 2.262, usercpu_time_millis_training: 35.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7689, kappa: 0.4877, kb_relative_information_score: 257.4028, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7678, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8376, scimark_benchmark: 1288.3529, usercpu_time_millis: 41.481, usercpu_time_millis_testing: 2.39, usercpu_time_millis_training: 39.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7454, kappa: 0.4267, kb_relative_information_score: 165.8437, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7547, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8614, scimark_benchmark: 1292.9276, usercpu_time_millis: 5.676, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 5.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.6186, kappa: 0.1726, kb_relative_information_score: 97.4459, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7293, predictive_accuracy: 0.694, prior_entropy: 0.9335, recall: 0.694, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9096, scimark_benchmark: 1294.8222, usercpu_time_millis: 5.356, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 4.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.712, kappa: 0.353, kb_relative_information_score: 119.3812, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7457, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8952, scimark_benchmark: 1289.6807, usercpu_time_millis: 6.803, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 5.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.744, kappa: 0.4257, kb_relative_information_score: 198.5596, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7456, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8503, scimark_benchmark: 1294.9086, usercpu_time_millis: 12.637, usercpu_time_millis_testing: 1.203, usercpu_time_millis_training: 11.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7555, kappa: 0.4599, kb_relative_information_score: 261.2493, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7547, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8532, scimark_benchmark: 1267.9369, usercpu_time_millis: 33.017, usercpu_time_millis_testing: 2.389, usercpu_time_millis_training: 30.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7498, kappa: 0.4371, kb_relative_information_score: 182.6375, mean_absolute_error: 0.3563, 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: 0.7839, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8499, scimark_benchmark: 1287.5518, usercpu_time_millis: 4.157, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 3.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5134, kb_relative_information_score: 0.1565, 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: 1290.9215, usercpu_time_millis: 7.614, usercpu_time_millis_testing: 1.121, usercpu_time_millis_training: 6.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7469, kappa: 0.4421, kb_relative_information_score: 259.8558, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7465, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8759, scimark_benchmark: 1288.5196, usercpu_time_millis: 50.096, usercpu_time_millis_testing: 2.779, usercpu_time_millis_training: 47.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7378, kappa: 0.4107, kb_relative_information_score: 178.8875, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7414, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8567, scimark_benchmark: 1290.8809, usercpu_time_millis: 9.075, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 8.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7733, kappa: 0.4947, kb_relative_information_score: 239.666, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7728, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8323, scimark_benchmark: 1289.6674, usercpu_time_millis: 27.252, usercpu_time_millis_testing: 2.662, usercpu_time_millis_training: 24.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7468, kappa: 0.4297, kb_relative_information_score: 168.2168, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8589, scimark_benchmark: 1294.1604, usercpu_time_millis: 9.163, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 8.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7605, kappa: 0.4629, kb_relative_information_score: 204.8448, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8411, scimark_benchmark: 1287.1256, usercpu_time_millis: 29.947, usercpu_time_millis_testing: 3.697, usercpu_time_millis_training: 26.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7633, kappa: 0.4729, kb_relative_information_score: 254.1213, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7623, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8273, scimark_benchmark: 1289.3395, usercpu_time_millis: 12.244, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 11.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.7473, kappa: 0.4344, kb_relative_information_score: 201.7961, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7473, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8532, scimark_benchmark: 1290.988, usercpu_time_millis: 15.188, usercpu_time_millis_testing: 1.329, usercpu_time_millis_training: 13.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7574, kappa: 0.4578, kb_relative_information_score: 237.0066, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8297, scimark_benchmark: 1290.1507, usercpu_time_millis: 12.571, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 11.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7268, kappa: 0.3964, kb_relative_information_score: 256.4283, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7258, predictive_accuracy: 0.7279, prior_entropy: 0.9335, recall: 0.7279, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8891, scimark_benchmark: 1296.1698, usercpu_time_millis: 19.997, usercpu_time_millis_testing: 1.218, usercpu_time_millis_training: 18.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7531, kappa: 0.4469, kb_relative_information_score: 209.708, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8422, scimark_benchmark: 1300.1407, usercpu_time_millis: 28.095, usercpu_time_millis_testing: 3.178, usercpu_time_millis_training: 24.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7563, kappa: 0.4534, kb_relative_information_score: 208.5641, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8402, scimark_benchmark: 1284.5269, usercpu_time_millis: 20.482, usercpu_time_millis_testing: 2.225, usercpu_time_millis_training: 18.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.0409, 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: 1290.2719, usercpu_time_millis: 4.5, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 3.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.768, kappa: 0.4828, kb_relative_information_score: 249.7066, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7674, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8307, scimark_benchmark: 1285.5661, usercpu_time_millis: 17.881, usercpu_time_millis_testing: 1.537, usercpu_time_millis_training: 16.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7634, kappa: 0.4751, kb_relative_information_score: 262.8116, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7622, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8414, scimark_benchmark: 1293.6808, usercpu_time_millis: 23.968, usercpu_time_millis_testing: 1.745, usercpu_time_millis_training: 22.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7681, kappa: 0.4804, kb_relative_information_score: 230.657, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7696, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7161, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8291, scimark_benchmark: 1289.6656, usercpu_time_millis: 19.755, usercpu_time_millis_testing: 1.888, usercpu_time_millis_training: 17.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7248, kappa: 0.3822, kb_relative_information_score: 182.7591, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7257, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8703, scimark_benchmark: 1294.8856, usercpu_time_millis: 0.38, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7384, kappa: 0.4105, kb_relative_information_score: 139.2185, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7551, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8812, scimark_benchmark: 1299.8775, usercpu_time_millis: 4.904, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 4.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7595, kappa: 0.4632, kb_relative_information_score: 248.2732, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7589, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8254, scimark_benchmark: 1297.0913, usercpu_time_millis: 28.312, usercpu_time_millis_testing: 1.983, usercpu_time_millis_training: 26.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.7304, kappa: 0.3971, kb_relative_information_score: 184.1719, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7295, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8671, scimark_benchmark: 1290.6803, usercpu_time_millis: 10.478, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 9.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7635, kappa: 0.4738, kb_relative_information_score: 250.5019, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7625, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8258, scimark_benchmark: 1295.6842, usercpu_time_millis: 17.847, usercpu_time_millis_testing: 1.46, usercpu_time_millis_training: 16.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.733, kappa: 0.412, kb_relative_information_score: 257.0671, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7328, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8956, scimark_benchmark: 1293.2206, usercpu_time_millis: 103.202, usercpu_time_millis_testing: 5.588, usercpu_time_millis_training: 97.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7354, kappa: 0.408, kb_relative_information_score: 189.1102, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7349, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.859, scimark_benchmark: 1291.3256, usercpu_time_millis: 12.16, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 10.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7496, kappa: 0.4359, kb_relative_information_score: 169.412, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7619, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.409, root_relative_squared_error: 0.858, scimark_benchmark: 1295.001, usercpu_time_millis: 15.073, usercpu_time_millis_testing: 1.877, usercpu_time_millis_training: 13.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7753, kappa: 0.4998, kb_relative_information_score: 243.0581, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7745, predictive_accuracy: 0.7786, prior_entropy: 0.9335, recall: 0.7786, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, scimark_benchmark: 1286.001, usercpu_time_millis: 38.838, usercpu_time_millis_testing: 3.748, usercpu_time_millis_training: 35.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7596, kappa: 0.4596, kb_relative_information_score: 194.232, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7647, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8448, scimark_benchmark: 1267.601, usercpu_time_millis: 15.881, usercpu_time_millis_testing: 1.918, usercpu_time_millis_training: 13.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7614, kappa: 0.4645, kb_relative_information_score: 216.7545, mean_absolute_error: 0.3347, 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: 0.7364, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8323, scimark_benchmark: 1288.2526, usercpu_time_millis: 14.362, usercpu_time_millis_testing: 1.325, usercpu_time_millis_training: 13.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7548, kappa: 0.4499, kb_relative_information_score: 205.5842, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.841, scimark_benchmark: 1294.5505, usercpu_time_millis: 5.273, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 4.766,

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