Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77718 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8441, kappa: 0.6799, kb_relative_information_score: 0.6789, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8443, predictive_accuracy: 0.8447, prior_entropy: 0.9835, recall: 0.8447, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7586, kappa: 0.5172, kb_relative_information_score: 0.4982, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7731, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7586, kappa: 0.5172, kb_relative_information_score: 0.4982, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7731, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7802, kappa: 0.5476, kb_relative_information_score: 0.5511, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7828, predictive_accuracy: 0.7829, prior_entropy: 0.9835, recall: 0.7829, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.7821, kappa: 0.5517, kb_relative_information_score: 0.5546, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7843, predictive_accuracy: 0.7846, prior_entropy: 0.9835, recall: 0.7846, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.6673, kappa: 0.3731, kb_relative_information_score: 0.3232, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7344, predictive_accuracy: 0.6726, prior_entropy: 0.9835, recall: 0.6726, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5722, root_relative_squared_error: 1.1576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7802, kappa: 0.5476, kb_relative_information_score: 0.5511, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7828, predictive_accuracy: 0.7829, prior_entropy: 0.9835, recall: 0.7829, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.7825, kappa: 0.5527, kb_relative_information_score: 0.5542, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7836, predictive_accuracy: 0.7843, prior_entropy: 0.9835, recall: 0.7843, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.8443, kappa: 0.6805, kb_relative_information_score: 0.6791, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8444, predictive_accuracy: 0.8448, prior_entropy: 0.9835, recall: 0.8448, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.8443, kappa: 0.6805, kb_relative_information_score: 0.6791, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8444, predictive_accuracy: 0.8448, prior_entropy: 0.9835, recall: 0.8448, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.8416, kappa: 0.6748, kb_relative_information_score: 0.6739, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8419, predictive_accuracy: 0.8422, prior_entropy: 0.9835, recall: 0.8422, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.8416, kappa: 0.6748, kb_relative_information_score: 0.6739, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8419, predictive_accuracy: 0.8422, prior_entropy: 0.9835, recall: 0.8422, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8441, kappa: 0.6801, kb_relative_information_score: 0.6791, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8444, predictive_accuracy: 0.8448, prior_entropy: 0.9835, recall: 0.8448, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.7825, kappa: 0.5527, kb_relative_information_score: 0.5542, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7836, predictive_accuracy: 0.7843, prior_entropy: 0.9835, recall: 0.7843, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8441, kappa: 0.6801, kb_relative_information_score: 0.6791, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8444, predictive_accuracy: 0.8448, prior_entropy: 0.9835, recall: 0.8448, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.8426, kappa: 0.677, kb_relative_information_score: 0.6756, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8427, predictive_accuracy: 0.8431, prior_entropy: 0.9835, recall: 0.8431, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8441, kappa: 0.6799, kb_relative_information_score: 0.6789, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8443, predictive_accuracy: 0.8447, prior_entropy: 0.9835, recall: 0.8447, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.7974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.7832, kappa: 0.5541, kb_relative_information_score: 0.5558, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7844, predictive_accuracy: 0.7851, prior_entropy: 0.9835, recall: 0.7851, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8422, kappa: 0.6757, kb_relative_information_score: 0.6761, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8434, predictive_accuracy: 0.8433, prior_entropy: 0.9835, recall: 0.8433, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.7816, kappa: 0.5506, kb_relative_information_score: 0.554, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7843, predictive_accuracy: 0.7843, prior_entropy: 0.9835, recall: 0.7843, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8427, kappa: 0.6771, kb_relative_information_score: 0.6761, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.843, predictive_accuracy: 0.8433, prior_entropy: 0.9835, recall: 0.8433, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8425, kappa: 0.6769, kb_relative_information_score: 0.6757, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8427, predictive_accuracy: 0.8431, prior_entropy: 0.9835, recall: 0.8431, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8428, kappa: 0.6773, kb_relative_information_score: 0.6766, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8432, predictive_accuracy: 0.8436, prior_entropy: 0.9835, recall: 0.8436, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.843, kappa: 0.678, kb_relative_information_score: 0.6763, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.843, predictive_accuracy: 0.8434, prior_entropy: 0.9835, recall: 0.8434, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.843, kappa: 0.6779, kb_relative_information_score: 0.6764, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8431, predictive_accuracy: 0.8435, prior_entropy: 0.9835, recall: 0.8435, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.842, kappa: 0.6757, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8423, predictive_accuracy: 0.8427, prior_entropy: 0.9835, recall: 0.8427, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.8441, kappa: 0.6802, kb_relative_information_score: 0.6787, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8442, predictive_accuracy: 0.8446, prior_entropy: 0.9835, recall: 0.8446, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.78, kappa: 0.5474, kb_relative_information_score: 0.5495, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7814, predictive_accuracy: 0.7821, prior_entropy: 0.9835, recall: 0.7821, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.7808, kappa: 0.5493, kb_relative_information_score: 0.5512, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7823, predictive_accuracy: 0.7829, prior_entropy: 0.9835, recall: 0.7829, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.7808, kappa: 0.5491, kb_relative_information_score: 0.5512, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7823, predictive_accuracy: 0.7829, prior_entropy: 0.9835, recall: 0.7829, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8443, kappa: 0.6804, kb_relative_information_score: 0.6796, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8447, predictive_accuracy: 0.845, prior_entropy: 0.9835, recall: 0.845, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7832, kappa: 0.5543, kb_relative_information_score: 0.5554, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7842, predictive_accuracy: 0.785, prior_entropy: 0.9835, recall: 0.785, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7819, kappa: 0.5515, kb_relative_information_score: 0.5528, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7829, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7832, kappa: 0.5543, kb_relative_information_score: 0.5554, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7842, predictive_accuracy: 0.785, prior_entropy: 0.9835, recall: 0.785, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8451, kappa: 0.6822, kb_relative_information_score: 0.6808, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8452, predictive_accuracy: 0.8456, prior_entropy: 0.9835, recall: 0.8456, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7819, kappa: 0.5516, kb_relative_information_score: 0.5527, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7828, predictive_accuracy: 0.7836, prior_entropy: 0.9835, recall: 0.7836, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.6673, kappa: 0.3731, kb_relative_information_score: 0.3232, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7344, predictive_accuracy: 0.6726, prior_entropy: 0.9835, recall: 0.6726, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5722, root_relative_squared_error: 1.1576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7813, kappa: 0.5501, kb_relative_information_score: 0.5521, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7827, predictive_accuracy: 0.7833, prior_entropy: 0.9835, recall: 0.7833, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7819, kappa: 0.5515, kb_relative_information_score: 0.5528, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7829, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8443, kappa: 0.6804, kb_relative_information_score: 0.6796, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8447, predictive_accuracy: 0.845, prior_entropy: 0.9835, recall: 0.845, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7813, kappa: 0.5501, kb_relative_information_score: 0.5521, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7827, predictive_accuracy: 0.7833, prior_entropy: 0.9835, recall: 0.7833, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8415, kappa: 0.6748, kb_relative_information_score: 0.6737, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8418, predictive_accuracy: 0.8422, prior_entropy: 0.9835, recall: 0.8422, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8427, kappa: 0.6771, kb_relative_information_score: 0.6761, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8429, predictive_accuracy: 0.8433, prior_entropy: 0.9835, recall: 0.8433, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8419, kappa: 0.6756, kb_relative_information_score: 0.6744, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8421, predictive_accuracy: 0.8425, prior_entropy: 0.9835, recall: 0.8425, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8029,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8114, kappa: 0.6129, kb_relative_information_score: 20336.6667, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8113, predictive_accuracy: 0.812, prior_entropy: 0.9835, recall: 0.812, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7415, scimark_benchmark: 1329.0944, usercpu_time_millis: 152.67, usercpu_time_millis_testing: 7.657, usercpu_time_millis_training: 145.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8063, kappa: 0.6023, kb_relative_information_score: 19792.1706, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8064, predictive_accuracy: 0.8071, prior_entropy: 0.9835, recall: 0.8071, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7489, scimark_benchmark: 1322.5487, usercpu_time_millis: 309.582, usercpu_time_millis_testing: 18.824, usercpu_time_millis_training: 290.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8183, kappa: 0.6265, kb_relative_information_score: 20576.5254, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8194, predictive_accuracy: 0.8196, prior_entropy: 0.9835, recall: 0.8196, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7273, scimark_benchmark: 1305.506, usercpu_time_millis: 305.09, usercpu_time_millis_testing: 13.412, usercpu_time_millis_training: 291.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8798, kappa: 0.7536, kb_relative_information_score: 27346.5307, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8797, predictive_accuracy: 0.8799, prior_entropy: 0.9835, recall: 0.8799, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6058, scimark_benchmark: 1326.5648, usercpu_time_millis: 293.084, usercpu_time_millis_testing: 13.072, usercpu_time_millis_training: 280.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8489, kappa: 0.6898, kb_relative_information_score: 23621.9157, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8494, predictive_accuracy: 0.8496, prior_entropy: 0.9835, recall: 0.8496, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6665, scimark_benchmark: 1331.4876, usercpu_time_millis: 1489.917, usercpu_time_millis_testing: 104.968, usercpu_time_millis_training: 1384.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8317, kappa: 0.6542, kb_relative_information_score: 22249.1781, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8323, predictive_accuracy: 0.8326, prior_entropy: 0.9835, recall: 0.8326, relative_absolute_error: 0.5413, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6989, scimark_benchmark: 1328.7891, usercpu_time_millis: 443.736, usercpu_time_millis_testing: 34.362, usercpu_time_millis_training: 409.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8502, kappa: 0.6927, kb_relative_information_score: 24824.5014, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8502, predictive_accuracy: 0.8506, prior_entropy: 0.9835, recall: 0.8506, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6573, scimark_benchmark: 1289.7235, usercpu_time_millis: 2849.54, usercpu_time_millis_testing: 113.21, usercpu_time_millis_training: 2736.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8143, kappa: 0.6189, kb_relative_information_score: 20780.7507, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8142, predictive_accuracy: 0.8148, prior_entropy: 0.9835, recall: 0.8148, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7337, scimark_benchmark: 1303.275, usercpu_time_millis: 1849.82, usercpu_time_millis_testing: 87.014, usercpu_time_millis_training: 1762.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8812, kappa: 0.7564, kb_relative_information_score: 27189.9504, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8813, predictive_accuracy: 0.8815, prior_entropy: 0.9835, recall: 0.8815, relative_absolute_error: 0.4316, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.6027, scimark_benchmark: 1303.949, usercpu_time_millis: 1373.135, usercpu_time_millis_testing: 51.252, usercpu_time_millis_training: 1321.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8064, kappa: 0.6016, kb_relative_information_score: 17203.7176, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8115, predictive_accuracy: 0.8095, prior_entropy: 0.9835, recall: 0.8095, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7595, scimark_benchmark: 1324.1244, usercpu_time_millis: 392.761, usercpu_time_millis_testing: 27.597, usercpu_time_millis_training: 365.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8481, kappa: 0.6884, kb_relative_information_score: 24672.1922, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8481, predictive_accuracy: 0.8485, prior_entropy: 0.9835, recall: 0.8485, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6643, scimark_benchmark: 1330.2159, usercpu_time_millis: 402.528, usercpu_time_millis_testing: 17.315, usercpu_time_millis_training: 385.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8031, kappa: 0.595, kb_relative_information_score: 19016.0318, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.805, predictive_accuracy: 0.805, prior_entropy: 0.9835, recall: 0.805, relative_absolute_error: 0.6121, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7582, scimark_benchmark: 1302.2533, usercpu_time_millis: 458.446, usercpu_time_millis_testing: 31.538, usercpu_time_millis_training: 426.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.8388, kappa: 0.669, kb_relative_information_score: 22576.0386, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8394, predictive_accuracy: 0.8397, prior_entropy: 0.9835, recall: 0.8397, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.6865, scimark_benchmark: 1314.6567, usercpu_time_millis: 1195.502, usercpu_time_millis_testing: 83.251, usercpu_time_millis_training: 1112.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8051, kappa: 0.6002, kb_relative_information_score: 19762.706, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.805, predictive_accuracy: 0.8057, prior_entropy: 0.9835, recall: 0.8057, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7514, scimark_benchmark: 1266.3915, usercpu_time_millis: 1515.814, usercpu_time_millis_testing: 72.347, usercpu_time_millis_training: 1443.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9196, kappa: 0.8353, kb_relative_information_score: 32239.2323, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9196, predictive_accuracy: 0.9197, prior_entropy: 0.9835, recall: 0.9197, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5049, scimark_benchmark: 1311.0676, usercpu_time_millis: 595.028, usercpu_time_millis_testing: 20.329, usercpu_time_millis_training: 574.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8021, kappa: 0.5929, kb_relative_information_score: 18765.7075, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8048, predictive_accuracy: 0.8044, prior_entropy: 0.9835, recall: 0.8044, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7605, scimark_benchmark: 1326.6845, usercpu_time_millis: 1053.801, usercpu_time_millis_testing: 57.428, usercpu_time_millis_training: 996.373,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs