Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 127651 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: 0.7969, f_measure: 0.7336, kappa: 0.4151, kb_relative_information_score: 242.0492, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7343, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.7172, kappa: 0.3725, kb_relative_information_score: 247.9338, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7155, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.7451, kappa: 0.4327, kb_relative_information_score: 270.1427, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7437, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7497, kappa: 0.444, kb_relative_information_score: 259.2258, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7484, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7242, kappa: 0.3887, kb_relative_information_score: 269.1941, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7227, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.7351, kappa: 0.4113, kb_relative_information_score: 261.9623, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7335, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.7414, kappa: 0.422, kb_relative_information_score: 262.468, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7407, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.7518, kappa: 0.4479, kb_relative_information_score: 276.4412, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7505, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7409, kappa: 0.4234, kb_relative_information_score: 266.8285, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7395, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.7564, kappa: 0.4591, kb_relative_information_score: 266.2781, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7552, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6491, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7439, kappa: 0.4302, kb_relative_information_score: 251.3972, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7425, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7153, kappa: 0.3658, kb_relative_information_score: 255.1334, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7134, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.6459, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7465, kappa: 0.4345, kb_relative_information_score: 248.9171, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7455, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7398, kappa: 0.4209, kb_relative_information_score: 264.9634, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7383, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7527, kappa: 0.4493, kb_relative_information_score: 259.2365, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7515, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.7315, kappa: 0.4022, kb_relative_information_score: 254.0668, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7299, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7624, kappa: 0.4736, kb_relative_information_score: 269.6807, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.76, kappa: 0.4664, kb_relative_information_score: 265.604, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7406, kappa: 0.4206, kb_relative_information_score: 258.5452, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7396, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.7427, kappa: 0.4278, kb_relative_information_score: 263.2468, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7412, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.7128, kappa: 0.362, kb_relative_information_score: 232.5205, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7109, predictive_accuracy: 0.7161, prior_entropy: 0.9335, recall: 0.7161, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.6932, kappa: 0.3187, kb_relative_information_score: 225.2764, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6911, predictive_accuracy: 0.6966, prior_entropy: 0.9335, recall: 0.6966, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.0382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.7365, kappa: 0.413, kb_relative_information_score: 267.3725, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7351, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.7506, kappa: 0.4454, kb_relative_information_score: 272.5358, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7493, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.7483, kappa: 0.439, kb_relative_information_score: 250.2581, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7471, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7354, kappa: 0.4105, kb_relative_information_score: 267.1809, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7338, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7047, kappa: 0.3456, kb_relative_information_score: 239.6621, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.703, predictive_accuracy: 0.707, prior_entropy: 0.9335, recall: 0.707, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.7442, kappa: 0.4296, kb_relative_information_score: 247.7856, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.743, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7073, kappa: 0.3514, kb_relative_information_score: 241.6078, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7057, predictive_accuracy: 0.7096, prior_entropy: 0.9335, recall: 0.7096, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7624, kappa: 0.4736, kb_relative_information_score: 272.0979, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7573, kappa: 0.4606, kb_relative_information_score: 263.4673, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7561, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7494, kappa: 0.443, kb_relative_information_score: 257.5806, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7481, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7627, kappa: 0.4745, kb_relative_information_score: 272.5655, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7616, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6466, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.7198, kappa: 0.3763, kb_relative_information_score: 278.106, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7179, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7365, kappa: 0.413, kb_relative_information_score: 266.623, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7351, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.7277, kappa: 0.3939, kb_relative_information_score: 269.4522, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.726, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.7286, kappa: 0.3971, kb_relative_information_score: 264.7097, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.727, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7579, kappa: 0.4625, kb_relative_information_score: 265.2482, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7566, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.7509, kappa: 0.4449, kb_relative_information_score: 253.524, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7498, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7465, kappa: 0.4345, kb_relative_information_score: 254.3159, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7455, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7168, kappa: 0.3693, kb_relative_information_score: 252.6894, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7149, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.7333, kappa: 0.4068, kb_relative_information_score: 255.4903, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7317, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.9373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.7108, kappa: 0.3584, kb_relative_information_score: 248.7893, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7091, predictive_accuracy: 0.7135, prior_entropy: 0.9335, recall: 0.7135, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.7155, kappa: 0.3679, kb_relative_information_score: 234.7367, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7136, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7462, kappa: 0.4335, kb_relative_information_score: 250.4945, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7453, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.438, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.7135, kappa: 0.3611, kb_relative_information_score: 241.0416, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7116, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.7181, kappa: 0.3758, kb_relative_information_score: 251.1674, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7167, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7307, kappa: 0.4009, kb_relative_information_score: 273.5842, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.729, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.7188, kappa: 0.3729, kb_relative_information_score: 259.0388, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.717, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7627, kappa: 0.4745, kb_relative_information_score: 274.9251, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7616, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7114, kappa: 0.3607, kb_relative_information_score: 240.2336, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7099, predictive_accuracy: 0.7135, prior_entropy: 0.9335, recall: 0.7135, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.716, kappa: 0.368, kb_relative_information_score: 263.1136, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7141, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.0223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.7382, kappa: 0.4157, kb_relative_information_score: 257.419, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7371, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.9213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7512, kappa: 0.4459, kb_relative_information_score: 259.0951, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7501, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7585, kappa: 0.463, kb_relative_information_score: 263.9038, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7624, kappa: 0.4736, kb_relative_information_score: 270.3061, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.7506, kappa: 0.4439, kb_relative_information_score: 256.5209, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7496, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7415, kappa: 0.4237, kb_relative_information_score: 246.2305, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7402, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.7172, kappa: 0.3725, kb_relative_information_score: 233.5863, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7155, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7494, kappa: 0.443, kb_relative_information_score: 258.2474, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7481, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.711, kappa: 0.3574, kb_relative_information_score: 255.7794, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.709, predictive_accuracy: 0.7148, prior_entropy: 0.9335, recall: 0.7148, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.7041, kappa: 0.3433, kb_relative_information_score: 230.4638, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7022, predictive_accuracy: 0.707, prior_entropy: 0.9335, recall: 0.707, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7512, kappa: 0.4474, kb_relative_information_score: 256.9059, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7498, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7123, kappa: 0.3619, kb_relative_information_score: 259.8071, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7106, predictive_accuracy: 0.7148, prior_entropy: 0.9335, recall: 0.7148, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7433, kappa: 0.4282, kb_relative_information_score: 249.0591, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7419, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7552, kappa: 0.4566, kb_relative_information_score: 267.5895, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.754, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7521, kappa: 0.4474, kb_relative_information_score: 256.2939, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7511, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.7242, kappa: 0.3867, kb_relative_information_score: 269.3378, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7225, predictive_accuracy: 0.7279, prior_entropy: 0.9335, recall: 0.7279, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4792, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7382, kappa: 0.4157, kb_relative_information_score: 273.0817, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7371, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.7624, kappa: 0.4736, kb_relative_information_score: 271.8856, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7613, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.748, kappa: 0.438, kb_relative_information_score: 250.2872, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7469, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7368, kappa: 0.414, kb_relative_information_score: 270.8694, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7353, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.7324, kappa: 0.4072, kb_relative_information_score: 275.9333, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.731, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.76, kappa: 0.4687, kb_relative_information_score: 266.2527, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.759, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7327, kappa: 0.4046, kb_relative_information_score: 262.325, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7311, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.7216, kappa: 0.3829, kb_relative_information_score: 284.1278, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7201, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.518, root_relative_squared_error: 1.0869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.7166, kappa: 0.3703, kb_relative_information_score: 249.7931, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7148, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7342, kappa: 0.4081, kb_relative_information_score: 257.3591, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7326, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7439, kappa: 0.4286, kb_relative_information_score: 280.3859, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7427, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.7186, kappa: 0.378, kb_relative_information_score: 269.3008, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7175, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7189, kappa: 0.375, kb_relative_information_score: 245.1143, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7171, predictive_accuracy: 0.7227, prior_entropy: 0.9335, recall: 0.7227, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7439, kappa: 0.4302, kb_relative_information_score: 251.1092, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7425, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.761, kappa: 0.4702, kb_relative_information_score: 267.4273, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7599, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7497, kappa: 0.444, kb_relative_information_score: 259.9651, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7484, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.7189, kappa: 0.375, kb_relative_information_score: 242.447, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7171, predictive_accuracy: 0.7227, prior_entropy: 0.9335, recall: 0.7227, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.7093, kappa: 0.3571, kb_relative_information_score: 241.1749, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7081, predictive_accuracy: 0.7109, prior_entropy: 0.9335, recall: 0.7109, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.731, kappa: 0.4019, kb_relative_information_score: 270.0833, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7293, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7433, kappa: 0.4282, kb_relative_information_score: 246.7813, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7419, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6745, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.9099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7562, kappa: 0.4604, kb_relative_information_score: 265.9078, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7552, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7415, kappa: 0.4254, kb_relative_information_score: 259.5918, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.74, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.9132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7312, kappa: 0.4012, kb_relative_information_score: 250.9228, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7296, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7573, kappa: 0.4606, kb_relative_information_score: 264.1567, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7561, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.7521, kappa: 0.4474, kb_relative_information_score: 256.4068, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7511, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7573, kappa: 0.4606, kb_relative_information_score: 270.2612, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7561, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7627, kappa: 0.4745, kb_relative_information_score: 272.8369, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7616, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.7014, kappa: 0.3374, kb_relative_information_score: 231.6874, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6995, predictive_accuracy: 0.7044, prior_entropy: 0.9335, recall: 0.7044, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.7155, kappa: 0.37, kb_relative_information_score: 241.1083, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7141, predictive_accuracy: 0.7174, prior_entropy: 0.9335, recall: 0.7174, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9694,

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