OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 20597 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

20597 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9476, kappa: 0.9237, kb_relative_information_score: 761.088, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9478, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.3255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9511, kappa: 0.9289, kb_relative_information_score: 706.1295, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9518, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.3727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9595, kappa: 0.941, kb_relative_information_score: 702.5118, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9598, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9269, kappa: 0.894, kb_relative_information_score: 712.2941, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9289, predictive_accuracy: 0.9275, prior_entropy: 1.7898, recall: 0.9275, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.975, kappa: 0.9636, kb_relative_information_score: 670.4108, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.4531, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9751, kappa: 0.9638, kb_relative_information_score: 718.0618, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9756, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9559, kappa: 0.9359, kb_relative_information_score: 736.1374, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9569, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.144, root_relative_squared_error: 0.3473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9643, kappa: 0.9481, kb_relative_information_score: 746.8861, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.965, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9405, kappa: 0.9133, kb_relative_information_score: 707.691, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9407, predictive_accuracy: 0.9405, prior_entropy: 1.7898, recall: 0.9405, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.805, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9654, kappa: 0.9497, kb_relative_information_score: 713.3168, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9658, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.3364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9595, kappa: 0.9411, kb_relative_information_score: 733.9122, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.96, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.3201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9476, kappa: 0.9237, kb_relative_information_score: 716.0958, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9479, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.4226, kappa: 0.1424, kb_relative_information_score: 119.1198, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.4308, predictive_accuracy: 0.4304, prior_entropy: 1.7898, recall: 0.4304, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.7178, kappa: 0.6072, kb_relative_information_score: 330.5607, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8473, predictive_accuracy: 0.7467, prior_entropy: 1.7898, recall: 0.7467, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9774, kappa: 0.9671, kb_relative_information_score: 684.9092, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9777, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kb_relative_information_score: 3.187, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9667, kappa: 0.9515, kb_relative_information_score: 699.2762, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9671, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.9835, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.5727, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9861, kb_relative_information_score: 742.5962, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.2723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.951, kappa: 0.9289, kb_relative_information_score: 765.5105, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9523, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, kb_relative_information_score: 1.9311, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9607, kappa: 0.9428, kb_relative_information_score: 742.6105, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9611, predictive_accuracy: 0.9608, prior_entropy: 1.7898, recall: 0.9608, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.3343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9844, kappa: 0.9775, kb_relative_information_score: 622.8074, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9571, kappa: 0.9376, kb_relative_information_score: 734.9757, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9579, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 823.511, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0421, root_relative_squared_error: 0.1015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.458, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.1249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.944, kappa: 0.9185, kb_relative_information_score: 712.7975, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9442, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 819.9891, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.1098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9499, kappa: 0.9271, kb_relative_information_score: 698.2802, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9505, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9594, kappa: 0.9411, kb_relative_information_score: 770.2663, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9604, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.9309, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9559, kappa: 0.9358, kb_relative_information_score: 726.8513, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9564, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9477, kappa: 0.9237, kb_relative_information_score: 714.1373, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9481, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.3541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9773, kappa: 0.9671, kb_relative_information_score: 726.84, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9775, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.3091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9809, kappa: 0.9723, kb_relative_information_score: 718.9561, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.2131, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.3217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9666, kappa: 0.9515, kb_relative_information_score: 767.3738, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9669, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.2924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, kappa: 0.2549, kb_relative_information_score: 148.562, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.503, prior_entropy: 1.7898, recall: 0.503, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.7326, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.963, kappa: 0.9462, kb_relative_information_score: 732.8044, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9636, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.8618, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9324, kappa: 0.9015, kb_relative_information_score: 762.0915, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9328, predictive_accuracy: 0.9322, prior_entropy: 1.7898, recall: 0.9322, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9798, kappa: 0.9705, kb_relative_information_score: 712.3855, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.3154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9763, kappa: 0.9654, kb_relative_information_score: 737.5885, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9767, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9523, kappa: 0.9306, kb_relative_information_score: 710.4594, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.953, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9762, kappa: 0.9653, kb_relative_information_score: 648.8177, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9764, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9666, kappa: 0.9514, kb_relative_information_score: 681.6204, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9669, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 817.3029, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.1344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 658.2275, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9475, kappa: 0.9238, kb_relative_information_score: 751.7438, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9481, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.3556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9773, kappa: 0.967, kb_relative_information_score: 644.5099, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9776, predictive_accuracy: 0.9774, prior_entropy: 1.7898, recall: 0.9774, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.169, root_relative_squared_error: 0.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9631, kappa: 0.9466, kb_relative_information_score: 770.1963, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9642, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.3074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9596, kappa: 0.9412, kb_relative_information_score: 86.3174, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9598, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9512, kappa: 0.929, kb_relative_information_score: 784.3032, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9513, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, kappa: 0.7283, kb_relative_information_score: 337.6842, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.8216, prior_entropy: 1.7898, recall: 0.8216, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 716.5345, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.3053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9357, kappa: 0.9067, kb_relative_information_score: 737.3666, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9363, predictive_accuracy: 0.9358, prior_entropy: 1.7898, recall: 0.9358, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, kappa: 0.0006, kb_relative_information_score: 1.8298, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3698, prior_entropy: 1.7898, recall: 0.3698, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9643, kappa: 0.948, kb_relative_information_score: 725.1984, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9647, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9323, kappa: 0.9016, kb_relative_information_score: 761.8685, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9325, predictive_accuracy: 0.9322, prior_entropy: 1.7898, recall: 0.9322, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.4441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 736.113, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9717, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4438, kb_relative_information_score: 2.1014, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6603, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9486, kappa: 0.9256, kb_relative_information_score: 758.3171, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9493, predictive_accuracy: 0.9489, prior_entropy: 1.7898, recall: 0.9489, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9702, kappa: 0.9567, kb_relative_information_score: 735.3319, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9706, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.3198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.975, kappa: 0.9637, kb_relative_information_score: 757.5552, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9756, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9511, kappa: 0.9289, kb_relative_information_score: 726.6297, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9518, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9417, kappa: 0.915, kb_relative_information_score: 711.1522, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.942, predictive_accuracy: 0.9417, prior_entropy: 1.7898, recall: 0.9417, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9536, kappa: 0.9324, kb_relative_information_score: 727.6517, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.954, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.3526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 1.3634, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kappa: -0.0011, kb_relative_information_score: 3.5431, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3662, prior_entropy: 1.7898, recall: 0.3662, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.4806, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0474, root_relative_squared_error: 0.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9288, kappa: 0.8964, kb_relative_information_score: 737.9143, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9291, predictive_accuracy: 0.9287, prior_entropy: 1.7898, recall: 0.9287, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9571, kappa: 0.9377, kb_relative_information_score: 749.0774, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.958, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.3126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9462, kappa: 0.9219, kb_relative_information_score: 725.6113, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9471, predictive_accuracy: 0.9465, prior_entropy: 1.7898, recall: 0.9465, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: 2.1801, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9654, kappa: 0.9497, kb_relative_information_score: 739.4417, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9659, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.3166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9798, kappa: 0.9706, kb_relative_information_score: 763.9935, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9801, predictive_accuracy: 0.9798, prior_entropy: 1.7898, recall: 0.9798, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.2632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 53.137, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 1.0368, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9642, kappa: 0.948, kb_relative_information_score: 710.5709, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9646, predictive_accuracy: 0.9643, prior_entropy: 1.7898, recall: 0.9643, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: 3.3699, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.975, kappa: 0.9636, kb_relative_information_score: 664.6968, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9753, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 821.2102, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0474, root_relative_squared_error: 0.1144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.5898, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.1195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.6951, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.5971, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9523, kappa: 0.9306, kb_relative_information_score: 709.4664, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9529, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.8997, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9691, kappa: 0.955, kb_relative_information_score: 42.4366, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 1.047, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4158, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.981, kappa: 0.9723, kb_relative_information_score: 746.6272, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.2778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 758.9741, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9789, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 1.7857, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9163, kappa: 0.881, kb_relative_information_score: 518.2448, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9268, predictive_accuracy: 0.918, prior_entropy: 1.7898, recall: 0.918, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9149, kappa: 0.8766, kb_relative_information_score: 709.1226, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9165, predictive_accuracy: 0.9156, prior_entropy: 1.7898, recall: 0.9156, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.4012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9559, kappa: 0.9359, kb_relative_information_score: 729.6002, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9565, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9714, kappa: 0.9584, kb_relative_information_score: 716.0648, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9718, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.3325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9045, kappa: 0.8615, kb_relative_information_score: 710.6936, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9054, predictive_accuracy: 0.9049, prior_entropy: 1.7898, recall: 0.9049, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.4207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 67.3489, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 1.022, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9791,

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