OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 99484 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
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99484 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4573, kb_relative_information_score: -0.5998, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1243.8099, usercpu_time_millis: 35.264, usercpu_time_millis_testing: 4.57, usercpu_time_millis_training: 30.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.9358, kappa: 0.8652, kb_relative_information_score: 0.8635, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9362, predictive_accuracy: 0.9361, prior_entropy: 0.9674, recall: 0.9361, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8875, kappa: 0.765, kb_relative_information_score: 0.7591, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.888, predictive_accuracy: 0.8872, prior_entropy: 0.9674, recall: 0.8872, relative_absolute_error: 0.2362, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8875, kappa: 0.765, kb_relative_information_score: 0.7591, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.888, predictive_accuracy: 0.8872, prior_entropy: 0.9674, recall: 0.8872, relative_absolute_error: 0.2362, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.9306, kappa: 0.8542, kb_relative_information_score: 0.8524, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9309, predictive_accuracy: 0.9309, prior_entropy: 0.9674, recall: 0.9309, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.9306, kappa: 0.8542, kb_relative_information_score: 0.8524, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9309, predictive_accuracy: 0.9309, prior_entropy: 0.9674, recall: 0.9309, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.9358, kappa: 0.8652, kb_relative_information_score: 0.8635, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9362, predictive_accuracy: 0.9361, prior_entropy: 0.9674, recall: 0.9361, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8579, kappa: 0.7034, kb_relative_information_score: 0.6955, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8587, predictive_accuracy: 0.8574, prior_entropy: 0.9674, recall: 0.8574, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8579, kappa: 0.7034, kb_relative_information_score: 0.6955, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8587, predictive_accuracy: 0.8574, prior_entropy: 0.9674, recall: 0.8574, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9196, kappa: 0.8309, kb_relative_information_score: 0.8292, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9201, predictive_accuracy: 0.92, prior_entropy: 0.9674, recall: 0.92, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.9196, kappa: 0.8309, kb_relative_information_score: 0.8292, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9201, predictive_accuracy: 0.92, prior_entropy: 0.9674, recall: 0.92, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.9291, kappa: 0.8511, kb_relative_information_score: 0.8491, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9293, predictive_accuracy: 0.9294, prior_entropy: 0.9674, recall: 0.9294, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.8255, kappa: 0.631, kb_relative_information_score: 0.6467, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8556, predictive_accuracy: 0.8346, prior_entropy: 0.9674, recall: 0.8346, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.9259, kappa: 0.8444, kb_relative_information_score: 0.8422, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, recall: 0.9261, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.5563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.8473, kappa: 0.6765, kb_relative_information_score: 0.6866, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.867, predictive_accuracy: 0.8533, prior_entropy: 0.9674, recall: 0.8533, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.8603, kappa: 0.7041, kb_relative_information_score: 0.7112, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8748, predictive_accuracy: 0.8648, prior_entropy: 0.9674, recall: 0.8648, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.8676, kappa: 0.7197, kb_relative_information_score: 0.7247, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8779, predictive_accuracy: 0.8711, prior_entropy: 0.9674, recall: 0.8711, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.9293, kappa: 0.8516, kb_relative_information_score: 0.8496, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9295, predictive_accuracy: 0.9296, prior_entropy: 0.9674, recall: 0.9296, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.5431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.9066, kappa: 0.8043, kb_relative_information_score: 0.8008, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9066, predictive_accuracy: 0.9068, prior_entropy: 0.9674, recall: 0.9068, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.4611, kappa: 0.0049, kb_relative_information_score: 0.1616, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.718, predictive_accuracy: 0.6075, prior_entropy: 0.9674, recall: 0.6075, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6265, root_relative_squared_error: 1.2822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.8234, kappa: 0.6265, kb_relative_information_score: 0.6421, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.852, predictive_accuracy: 0.8324, prior_entropy: 0.9674, recall: 0.8324, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.9285, kappa: 0.8499, kb_relative_information_score: 0.8477, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9286, predictive_accuracy: 0.9287, prior_entropy: 0.9674, recall: 0.9287, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.267, root_relative_squared_error: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.9293, kappa: 0.8516, kb_relative_information_score: 0.8496, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9295, predictive_accuracy: 0.9296, prior_entropy: 0.9674, recall: 0.9296, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.5431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9383, kappa: 0.8705, kb_relative_information_score: 0.8686, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 0.9674, recall: 0.9385, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.93, kappa: 0.853, kb_relative_information_score: 0.851, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9302, predictive_accuracy: 0.9302, prior_entropy: 0.9674, recall: 0.9302, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.9293, kappa: 0.8516, kb_relative_information_score: 0.8496, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9295, predictive_accuracy: 0.9296, prior_entropy: 0.9674, recall: 0.9296, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.5431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.9066, kappa: 0.8043, kb_relative_information_score: 0.8008, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9066, predictive_accuracy: 0.9068, prior_entropy: 0.9674, recall: 0.9068, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.4611, kappa: 0.0049, kb_relative_information_score: 0.1616, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.718, predictive_accuracy: 0.6075, prior_entropy: 0.9674, recall: 0.6075, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6265, root_relative_squared_error: 1.2822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.8234, kappa: 0.6265, kb_relative_information_score: 0.6421, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.852, predictive_accuracy: 0.8324, prior_entropy: 0.9674, recall: 0.8324, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.9285, kappa: 0.8499, kb_relative_information_score: 0.8477, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9286, predictive_accuracy: 0.9287, prior_entropy: 0.9674, recall: 0.9287, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.267, root_relative_squared_error: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9302, kappa: 0.8534, kb_relative_information_score: 0.8514, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9304, predictive_accuracy: 0.9304, prior_entropy: 0.9674, recall: 0.9304, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.7595, kappa: 0.4973, kb_relative_information_score: 0.533, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8243, predictive_accuracy: 0.7814, prior_entropy: 0.9674, recall: 0.7814, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9374, kappa: 0.8687, kb_relative_information_score: 0.8668, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9376, predictive_accuracy: 0.9376, prior_entropy: 0.9674, recall: 0.9376, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9103, kappa: 0.8108, kb_relative_information_score: 0.8101, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.912, predictive_accuracy: 0.9111, prior_entropy: 0.9674, recall: 0.9111, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9359, kappa: 0.8654, kb_relative_information_score: 0.8635, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.936, predictive_accuracy: 0.9361, prior_entropy: 0.9674, recall: 0.9361, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9132, kappa: 0.817, kb_relative_information_score: 0.8162, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9147, predictive_accuracy: 0.9139, prior_entropy: 0.9674, recall: 0.9139, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9357, kappa: 0.8648, kb_relative_information_score: 0.8631, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9359, predictive_accuracy: 0.9359, prior_entropy: 0.9674, recall: 0.9359, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9363, kappa: 0.8663, kb_relative_information_score: 0.8644, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9365, predictive_accuracy: 0.9365, prior_entropy: 0.9674, recall: 0.9365, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.929, kappa: 0.851, kb_relative_information_score: 0.8487, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.929, predictive_accuracy: 0.9291, prior_entropy: 0.9674, recall: 0.9291, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9374, kappa: 0.8687, kb_relative_information_score: 0.8668, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9376, predictive_accuracy: 0.9376, prior_entropy: 0.9674, recall: 0.9376, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.918, kappa: 0.8272, kb_relative_information_score: 0.8264, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9195, predictive_accuracy: 0.9187, prior_entropy: 0.9674, recall: 0.9187, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8313, kappa: 0.6429, kb_relative_information_score: 0.6555, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8539, predictive_accuracy: 0.8387, prior_entropy: 0.9674, recall: 0.8387, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.916, kappa: 0.8237, kb_relative_information_score: 0.8208, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9159, predictive_accuracy: 0.9161, prior_entropy: 0.9674, recall: 0.9161, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.5928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.8406, kappa: 0.6625, kb_relative_information_score: 0.6741, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.863, predictive_accuracy: 0.8474, prior_entropy: 0.9674, recall: 0.8474, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9279, kappa: 0.8486, kb_relative_information_score: 0.8463, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9279, predictive_accuracy: 0.9281, prior_entropy: 0.9674, recall: 0.9281, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.5489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.9259, kappa: 0.8444, kb_relative_information_score: 0.8422, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9674, recall: 0.9261, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.5563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.9263, kappa: 0.8454, kb_relative_information_score: 0.8431, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9264, predictive_accuracy: 0.9265, prior_entropy: 0.9674, recall: 0.9265, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.271, root_relative_squared_error: 0.5547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.8255, kappa: 0.631, kb_relative_information_score: 0.6467, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8556, predictive_accuracy: 0.8346, prior_entropy: 0.9674, recall: 0.8346, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.9251, kappa: 0.8427, kb_relative_information_score: 0.8408, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9254, predictive_accuracy: 0.9255, prior_entropy: 0.9674, recall: 0.9255, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.93, kappa: 0.853, kb_relative_information_score: 0.851, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9302, predictive_accuracy: 0.9302, prior_entropy: 0.9674, recall: 0.9302, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.8473, kappa: 0.6765, kb_relative_information_score: 0.6866, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.867, predictive_accuracy: 0.8533, prior_entropy: 0.9674, recall: 0.8533, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8888, kappa: 0.765, kb_relative_information_score: 0.766, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8927, predictive_accuracy: 0.8905, prior_entropy: 0.9674, recall: 0.8905, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.8676, kappa: 0.7197, kb_relative_information_score: 0.7247, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8779, predictive_accuracy: 0.8711, prior_entropy: 0.9674, recall: 0.8711, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.8543, kappa: 0.6914, kb_relative_information_score: 0.7001, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8718, predictive_accuracy: 0.8596, prior_entropy: 0.9674, recall: 0.8596, relative_absolute_error: 0.294, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8926, kappa: 0.774, kb_relative_information_score: 0.7721, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8931, predictive_accuracy: 0.8933, prior_entropy: 0.9674, recall: 0.8933, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8725, kappa: 0.7301, kb_relative_information_score: 0.734, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8809, predictive_accuracy: 0.8755, prior_entropy: 0.9674, recall: 0.8755, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8954, kappa: 0.7792, kb_relative_information_score: 0.779, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8976, predictive_accuracy: 0.8965, prior_entropy: 0.9674, recall: 0.8965, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8957, kappa: 0.7804, kb_relative_information_score: 0.779, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8967, predictive_accuracy: 0.8965, prior_entropy: 0.9674, recall: 0.8965, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9302, kappa: 0.8534, kb_relative_information_score: 0.8514, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9304, predictive_accuracy: 0.9304, prior_entropy: 0.9674, recall: 0.9304, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.9394, kappa: 0.8729, kb_relative_information_score: 0.8709, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9395, predictive_accuracy: 0.9396, prior_entropy: 0.9674, recall: 0.9396, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.7595, kappa: 0.4973, kb_relative_information_score: 0.533, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8243, predictive_accuracy: 0.7814, prior_entropy: 0.9674, recall: 0.7814, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.933, kappa: 0.8593, kb_relative_information_score: 0.8575, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 0.9674, recall: 0.9333, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9374, kappa: 0.8687, kb_relative_information_score: 0.8668, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9376, predictive_accuracy: 0.9376, prior_entropy: 0.9674, recall: 0.9376, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.9103, kappa: 0.8108, kb_relative_information_score: 0.8101, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.912, predictive_accuracy: 0.9111, prior_entropy: 0.9674, recall: 0.9111, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8447, kappa: 0.6745, kb_relative_information_score: 0.6685, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8446, predictive_accuracy: 0.8448, prior_entropy: 0.9674, recall: 0.8448, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9359, kappa: 0.8654, kb_relative_information_score: 0.8635, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.936, predictive_accuracy: 0.9361, prior_entropy: 0.9674, recall: 0.9361, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.5958, kappa: 0.1557, kb_relative_information_score: 0.1347, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5969, predictive_accuracy: 0.5949, prior_entropy: 0.9674, recall: 0.5949, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6365, root_relative_squared_error: 1.3026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9132, kappa: 0.817, kb_relative_information_score: 0.8162, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9147, predictive_accuracy: 0.9139, prior_entropy: 0.9674, recall: 0.9139, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8311, kappa: 0.6463, kb_relative_information_score: 0.6393, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8311, predictive_accuracy: 0.8311, prior_entropy: 0.9674, recall: 0.8311, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9357, kappa: 0.8648, kb_relative_information_score: 0.8631, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9359, predictive_accuracy: 0.9359, prior_entropy: 0.9674, recall: 0.9359, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9363, kappa: 0.8663, kb_relative_information_score: 0.8644, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9365, predictive_accuracy: 0.9365, prior_entropy: 0.9674, recall: 0.9365, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9142, kappa: 0.8199, kb_relative_information_score: 0.8171, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9142, predictive_accuracy: 0.9144, prior_entropy: 0.9674, recall: 0.9144, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.5989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.929, kappa: 0.851, kb_relative_information_score: 0.8487, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.929, predictive_accuracy: 0.9291, prior_entropy: 0.9674, recall: 0.9291, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8364, kappa: 0.6577, kb_relative_information_score: 0.6504, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8365, predictive_accuracy: 0.8363, prior_entropy: 0.9674, recall: 0.8363, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.9202, kappa: 0.8328, kb_relative_information_score: 0.8296, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9202, predictive_accuracy: 0.9202, prior_entropy: 0.9674, recall: 0.9202, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.833, kappa: 0.6465, kb_relative_information_score: 0.6593, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8564, predictive_accuracy: 0.8405, prior_entropy: 0.9674, recall: 0.8405, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.9024, kappa: 0.794, kb_relative_information_score: 0.7939, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9048, predictive_accuracy: 0.9035, prior_entropy: 0.9674, recall: 0.9035, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1583, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.8406, kappa: 0.6625, kb_relative_information_score: 0.6741, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.863, predictive_accuracy: 0.8474, prior_entropy: 0.9674, recall: 0.8474, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9138, kappa: 0.8187, kb_relative_information_score: 0.8166, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.914, predictive_accuracy: 0.9141, prior_entropy: 0.9674, recall: 0.9141, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.293, root_relative_squared_error: 0.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9271, kappa: 0.8469, kb_relative_information_score: 0.8449, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9274, predictive_accuracy: 0.9274, prior_entropy: 0.9674, recall: 0.9274, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.5514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.9251, kappa: 0.8427, kb_relative_information_score: 0.8408, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9254, predictive_accuracy: 0.9255, prior_entropy: 0.9674, recall: 0.9255, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.933, kappa: 0.8592, kb_relative_information_score: 0.8575, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 0.9674, recall: 0.9333, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.9343, kappa: 0.8621, kb_relative_information_score: 0.8603, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9346, predictive_accuracy: 0.9346, prior_entropy: 0.9674, recall: 0.9346, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.5234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8888, kappa: 0.765, kb_relative_information_score: 0.766, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8927, predictive_accuracy: 0.8905, prior_entropy: 0.9674, recall: 0.8905, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.9328, kappa: 0.8587, kb_relative_information_score: 0.857, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9331, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.9091, kappa: 0.808, kb_relative_information_score: 0.8083, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9123, predictive_accuracy: 0.9102, prior_entropy: 0.9674, recall: 0.9102, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9374, kappa: 0.8687, kb_relative_information_score: 0.8668, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9376, predictive_accuracy: 0.9376, prior_entropy: 0.9674, recall: 0.9376, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.9285, kappa: 0.8498, kb_relative_information_score: 0.8477, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9286, predictive_accuracy: 0.9287, prior_entropy: 0.9674, recall: 0.9287, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.267, root_relative_squared_error: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.918, kappa: 0.8272, kb_relative_information_score: 0.8264, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9195, predictive_accuracy: 0.9187, prior_entropy: 0.9674, recall: 0.9187, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8575, kappa: 0.6982, kb_relative_information_score: 0.7052, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8711, predictive_accuracy: 0.862, prior_entropy: 0.9674, recall: 0.862, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8313, kappa: 0.6429, kb_relative_information_score: 0.6555, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8539, predictive_accuracy: 0.8387, prior_entropy: 0.9674, recall: 0.8387, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.916, kappa: 0.8237, kb_relative_information_score: 0.8208, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9159, predictive_accuracy: 0.9161, prior_entropy: 0.9674, recall: 0.9161, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.5928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.9221, kappa: 0.8363, kb_relative_information_score: 0.8343, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9223, predictive_accuracy: 0.9224, prior_entropy: 0.9674, recall: 0.9224, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.5701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9192, kappa: 0.8302, kb_relative_information_score: 0.8282, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9195, predictive_accuracy: 0.9196, prior_entropy: 0.9674, recall: 0.9196, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.9279, kappa: 0.8486, kb_relative_information_score: 0.8463, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9279, predictive_accuracy: 0.9281, prior_entropy: 0.9674, recall: 0.9281, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.5489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.9263, kappa: 0.8454, kb_relative_information_score: 0.8431, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9264, predictive_accuracy: 0.9265, prior_entropy: 0.9674, recall: 0.9265, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.271, root_relative_squared_error: 0.5547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8518, kappa: 0.6898, kb_relative_information_score: 0.6834, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8519, predictive_accuracy: 0.8518, prior_entropy: 0.9674, recall: 0.8518, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.9005, kappa: 0.7898, kb_relative_information_score: 0.7902, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9036, predictive_accuracy: 0.9018, prior_entropy: 0.9674, recall: 0.9018, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.8543, kappa: 0.6914, kb_relative_information_score: 0.7001, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8718, predictive_accuracy: 0.8596, prior_entropy: 0.9674, recall: 0.8596, relative_absolute_error: 0.294, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7668,

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

OpenML APIs