OpenML
Supervised Classification on la1s.wc

Supervised Classification on la1s.wc

Task 3531 Supervised Classification la1s.wc 202 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.7494, kappa: 0.6887, kb_relative_information_score: 2187.7407, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7572, predictive_accuracy: 0.7525, prior_entropy: 2.4437, recall: 0.7525, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, kappa: 0.2252, kb_relative_information_score: 611.1785, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, predictive_accuracy: 0.4435, prior_entropy: 2.4437, recall: 0.4435, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.7805, kappa: 0.7151, kb_relative_information_score: 2207.2762, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8165, predictive_accuracy: 0.7697, prior_entropy: 2.4437, recall: 0.7697, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8581, kappa: 0.8236, kb_relative_information_score: 2664.0068, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.858, predictive_accuracy: 0.8589, prior_entropy: 2.4437, recall: 0.8589, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.5941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8038, kappa: 0.7514, kb_relative_information_score: 2181.8915, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8126, predictive_accuracy: 0.8024, prior_entropy: 2.4437, recall: 0.8024, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.6141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8101, kappa: 0.7721, kb_relative_information_score: 2080.9468, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.816, predictive_accuracy: 0.8196, prior_entropy: 2.4437, recall: 0.8196, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.227, root_relative_squared_error: 0.6218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7753, kappa: 0.7186, kb_relative_information_score: 2351.7307, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7758, predictive_accuracy: 0.775, prior_entropy: 2.4437, recall: 0.775, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.7503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8404, kappa: 0.8001, kb_relative_information_score: 1015.2713, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8423, predictive_accuracy: 0.8402, prior_entropy: 2.4437, recall: 0.8402, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.8744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.1339, kb_relative_information_score: 40.0946, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4437, recall: 0.2943, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3652, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.6789, kappa: 0.5954, kb_relative_information_score: 1681.4646, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6889, predictive_accuracy: 0.6813, prior_entropy: 2.4437, recall: 0.6813, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 649.5962, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8365, kappa: 0.7966, kb_relative_information_score: 2381.2086, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8377, predictive_accuracy: 0.8383, prior_entropy: 2.4437, recall: 0.8383, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.0368, kappa: 0.0107, kb_relative_information_score: 78.4914, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.1731, predictive_accuracy: 0.1152, prior_entropy: 2.4437, recall: 0.1152, relative_absolute_error: 1.1066, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8187, kappa: 0.774, kb_relative_information_score: 2521.1267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8214, predictive_accuracy: 0.8205, prior_entropy: 2.4437, recall: 0.8205, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.6178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, f_measure: 0.1339, kb_relative_information_score: 54.0427, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4437, recall: 0.2943, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3656, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8957, kappa: 0.8687, kb_relative_information_score: 2805.3136, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8967, predictive_accuracy: 0.8951, prior_entropy: 2.4437, recall: 0.8951, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.181, root_relative_squared_error: 0.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8919, kappa: 0.8655, kb_relative_information_score: 2680.4478, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8929, predictive_accuracy: 0.8926, prior_entropy: 2.4437, recall: 0.8926, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7654, kappa: 0.7084, kb_relative_information_score: 2286.023, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7643, predictive_accuracy: 0.7672, prior_entropy: 2.4437, recall: 0.7672, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.7192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 661.3332, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.6501, kappa: 0.5664, kb_relative_information_score: 1852.968, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6536, predictive_accuracy: 0.6567, prior_entropy: 2.4437, recall: 0.6567, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8818, kappa: 0.8529, kb_relative_information_score: 2699.426, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8822, predictive_accuracy: 0.8826, prior_entropy: 2.4437, recall: 0.8826, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.4907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.1339, kb_relative_information_score: 71.5751, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4437, recall: 0.2943, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3663, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.7986, kappa: 0.7469, kb_relative_information_score: 2400.8242, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8039, predictive_accuracy: 0.7968, prior_entropy: 2.4437, recall: 0.7968, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.6194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8763, kappa: 0.8459, kb_relative_information_score: 2624.8909, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8768, predictive_accuracy: 0.877, prior_entropy: 2.4437, recall: 0.877, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.185, root_relative_squared_error: 0.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8224, kappa: 0.7776, kb_relative_information_score: 2262.7916, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8245, predictive_accuracy: 0.823, prior_entropy: 2.4437, recall: 0.823, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.5896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8344, kappa: 0.7955, kb_relative_information_score: 2134.2975, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8419, predictive_accuracy: 0.838, prior_entropy: 2.4437, recall: 0.838, relative_absolute_error: 0.4665, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.5953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 661.4076, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.8431, kappa: 0.8047, kb_relative_information_score: 2421.0923, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8436, predictive_accuracy: 0.8443, prior_entropy: 2.4437, recall: 0.8443, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.5469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.781, kappa: 0.7273, kb_relative_information_score: 2292.7122, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7807, predictive_accuracy: 0.7825, prior_entropy: 2.4437, recall: 0.7825, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.6845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8597, kappa: 0.826, kb_relative_information_score: 2686.2141, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.86, predictive_accuracy: 0.8614, prior_entropy: 2.4437, recall: 0.8614, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.6653, kappa: 0.5791, kb_relative_information_score: 1410.5502, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7013, predictive_accuracy: 0.6698, prior_entropy: 2.4437, recall: 0.6698, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8224, kappa: 0.7776, kb_relative_information_score: 2262.7916, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8245, predictive_accuracy: 0.823, prior_entropy: 2.4437, recall: 0.823, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.5896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8114, kappa: 0.7656, kb_relative_information_score: 2293.0406, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8156, predictive_accuracy: 0.814, prior_entropy: 2.4437, recall: 0.814, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.213, root_relative_squared_error: 0.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8429, kappa: 0.8039, kb_relative_information_score: 2561.7957, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8443, predictive_accuracy: 0.8439, prior_entropy: 2.4437, recall: 0.8439, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.5468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.6448, kappa: 0.5841, kb_relative_information_score: 1752.3379, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.638, predictive_accuracy: 0.6685, prior_entropy: 2.4437, recall: 0.6685, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.7572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8415, kappa: 0.8061, kb_relative_information_score: 2582.1476, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8473, predictive_accuracy: 0.8461, prior_entropy: 2.4437, recall: 0.8461, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.5503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7414, kappa: 0.6762, kb_relative_information_score: 2220.0421, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7435, predictive_accuracy: 0.7422, prior_entropy: 2.4437, recall: 0.7422, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.8031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.7874, kappa: 0.7361, kb_relative_information_score: 2368.3061, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7865, predictive_accuracy: 0.789, prior_entropy: 2.4437, recall: 0.789, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.259, root_relative_squared_error: 0.7094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7569, kappa: 0.6977, kb_relative_information_score: 2302.4067, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7671, predictive_accuracy: 0.7559, prior_entropy: 2.4437, recall: 0.7559, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.764, kappa: 0.7071, kb_relative_information_score: 2266.57, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.764, predictive_accuracy: 0.7662, prior_entropy: 2.4437, recall: 0.7662, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.264, root_relative_squared_error: 0.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.872, kappa: 0.8443, kb_relative_information_score: 2184.1161, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.883, predictive_accuracy: 0.8767, prior_entropy: 2.4437, recall: 0.8767, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.5656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8653, kappa: 0.8374, kb_relative_information_score: 2138.0302, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8786, predictive_accuracy: 0.8714, prior_entropy: 2.4437, recall: 0.8714, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.5774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8564, kappa: 0.8292, kb_relative_information_score: 2063.4429, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8719, predictive_accuracy: 0.8652, prior_entropy: 2.4437, recall: 0.8652, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8481, kappa: 0.8202, kb_relative_information_score: 2011.8924, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8691, predictive_accuracy: 0.8583, prior_entropy: 2.4437, recall: 0.8583, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.6088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8371, kappa: 0.8119, kb_relative_information_score: 1920.7941, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.864, predictive_accuracy: 0.8521, prior_entropy: 2.4437, recall: 0.8521, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8273, kappa: 0.8022, kb_relative_information_score: 1858.1226, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8599, predictive_accuracy: 0.8449, prior_entropy: 2.4437, recall: 0.8449, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.6475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.7761, kappa: 0.7394, kb_relative_information_score: 1605.7276, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.807, predictive_accuracy: 0.7962, prior_entropy: 2.4437, recall: 0.7962, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.262, root_relative_squared_error: 0.7179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8138, kappa: 0.7921, kb_relative_information_score: 1770.7956, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8568, predictive_accuracy: 0.8374, prior_entropy: 2.4437, recall: 0.8374, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.6694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.7306, kappa: 0.6744, kb_relative_information_score: 1664.1086, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7389, predictive_accuracy: 0.7431, prior_entropy: 2.4437, recall: 0.7431, relative_absolute_error: 0.6237, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.7297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8216, kappa: 0.7963, kb_relative_information_score: 1736.2356, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8583, predictive_accuracy: 0.8405, prior_entropy: 2.4437, recall: 0.8405, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.6775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8111, kappa: 0.7638, kb_relative_information_score: 2325.8943, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8135, predictive_accuracy: 0.8118, prior_entropy: 2.4437, recall: 0.8118, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.5928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.1339, kb_relative_information_score: 0.5875, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4437, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.365, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8052, kappa: 0.7823, kb_relative_information_score: 1649.3928, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.842, predictive_accuracy: 0.8299, prior_entropy: 2.4437, recall: 0.8299, relative_absolute_error: 0.6491, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.6993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8017, kappa: 0.7778, kb_relative_information_score: 1619.506, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8394, predictive_accuracy: 0.8268, prior_entropy: 2.4437, recall: 0.8268, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.7057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.7908, kappa: 0.7598, kb_relative_information_score: 1550.3955, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8271, predictive_accuracy: 0.813, prior_entropy: 2.4437, recall: 0.813, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.7228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.4958, kappa: 0.3711, kb_relative_information_score: 1329.2299, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.4968, predictive_accuracy: 0.4963, prior_entropy: 2.4437, recall: 0.4963, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4033, root_relative_squared_error: 1.1048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.7858, kappa: 0.7569, kb_relative_information_score: 1518.6784, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8337, predictive_accuracy: 0.8112, prior_entropy: 2.4437, recall: 0.8112, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.7299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.7885, kappa: 0.7597, kb_relative_information_score: 1485.5321, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8411, predictive_accuracy: 0.8137, prior_entropy: 2.4437, recall: 0.8137, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.7374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.5578, kappa: 0.4602, kb_relative_information_score: 1293.2651, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.5857, predictive_accuracy: 0.5758, prior_entropy: 2.4437, recall: 0.5758, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.307, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.593, kappa: 0.508, kb_relative_information_score: 1421.0339, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6225, predictive_accuracy: 0.6089, prior_entropy: 2.4437, recall: 0.6089, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.8262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.6567, kappa: 0.5783, kb_relative_information_score: 1668.1958, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6633, predictive_accuracy: 0.6642, prior_entropy: 2.4437, recall: 0.6642, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.7768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.2833, kappa: 0.1833, kb_relative_information_score: 769.5526, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6193, predictive_accuracy: 0.3074, prior_entropy: 2.4437, recall: 0.3074, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.1059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.684, kappa: 0.6064, kb_relative_information_score: 1733.9981, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6912, predictive_accuracy: 0.6857, prior_entropy: 2.4437, recall: 0.6857, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.7619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.5287, kappa: 0.396, kb_relative_information_score: 1394.9439, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.777, predictive_accuracy: 0.5559, prior_entropy: 2.4437, recall: 0.5559, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3848, root_relative_squared_error: 1.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.722, kappa: 0.6552, kb_relative_information_score: 1902.5073, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.724, predictive_accuracy: 0.7253, prior_entropy: 2.4437, recall: 0.7253, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.3339, kappa: 0.2384, kb_relative_information_score: 965.5255, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2979, predictive_accuracy: 0.4526, prior_entropy: 2.4437, recall: 0.4526, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4271, root_relative_squared_error: 1.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.745, kappa: 0.6854, kb_relative_information_score: 2007.0867, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7474, predictive_accuracy: 0.7488, prior_entropy: 2.4437, recall: 0.7488, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.6962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.7581, kappa: 0.6999, kb_relative_information_score: 2077.1848, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7597, predictive_accuracy: 0.7612, prior_entropy: 2.4437, recall: 0.7612, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.6842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.7532, kappa: 0.6934, kb_relative_information_score: 2090.7225, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7529, predictive_accuracy: 0.7553, prior_entropy: 2.4437, recall: 0.7553, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.6862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.7626, kappa: 0.7039, kb_relative_information_score: 2131.5073, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7624, predictive_accuracy: 0.764, prior_entropy: 2.4437, recall: 0.764, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.7321, kappa: 0.6631, kb_relative_information_score: 941.1647, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.758, predictive_accuracy: 0.7363, prior_entropy: 2.4437, recall: 0.7363, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.776, kappa: 0.7205, kb_relative_information_score: 2181.4037, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7762, predictive_accuracy: 0.7772, prior_entropy: 2.4437, recall: 0.7772, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.7939, kappa: 0.745, kb_relative_information_score: 2403.6365, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7942, predictive_accuracy: 0.7956, prior_entropy: 2.4437, recall: 0.7956, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.6694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.778, kappa: 0.7232, kb_relative_information_score: 2207.0373, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7784, predictive_accuracy: 0.7797, prior_entropy: 2.4437, recall: 0.7797, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.6698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.3932, kappa: 0.2768, kb_relative_information_score: 1120.5886, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6831, predictive_accuracy: 0.3964, prior_entropy: 2.4437, recall: 0.3964, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3937, root_relative_squared_error: 1.0785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.4848, kappa: 0.3557, kb_relative_information_score: 1282.0942, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.4861, predictive_accuracy: 0.485, prior_entropy: 2.4437, recall: 0.485, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4143, root_relative_squared_error: 1.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.3338, kappa: 0.2384, kb_relative_information_score: 965.5255, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2976, predictive_accuracy: 0.4526, prior_entropy: 2.4437, recall: 0.4526, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4272, root_relative_squared_error: 1.1702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.7836, kappa: 0.7304, kb_relative_information_score: 2259.0187, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7834, predictive_accuracy: 0.7853, prior_entropy: 2.4437, recall: 0.7853, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.6641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.7675, kappa: 0.7106, kb_relative_information_score: 2270.905, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7675, predictive_accuracy: 0.7694, prior_entropy: 2.4437, recall: 0.7694, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.252, root_relative_squared_error: 0.6905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.4534, kappa: 0.3223, kb_relative_information_score: 1194.6483, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.6056, predictive_accuracy: 0.4441, prior_entropy: 2.4437, recall: 0.4441, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.43, root_relative_squared_error: 1.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.7903, kappa: 0.7725, kb_relative_information_score: 1569.957, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.827, predictive_accuracy: 0.823, prior_entropy: 2.4437, recall: 0.823, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.261, root_relative_squared_error: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.7647, kappa: 0.7294, kb_relative_information_score: 1417.4912, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8191, predictive_accuracy: 0.7906, prior_entropy: 2.4437, recall: 0.7906, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.7543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8036, kappa: 0.7536, kb_relative_information_score: 2484.2103, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8055, predictive_accuracy: 0.8027, prior_entropy: 2.4437, recall: 0.8027, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8331, kappa: 0.7938, kb_relative_information_score: 2383.19, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8347, predictive_accuracy: 0.8355, prior_entropy: 2.4437, recall: 0.8355, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.5657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7641, kappa: 0.707, kb_relative_information_score: 2307.1788, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7776, predictive_accuracy: 0.7637, prior_entropy: 2.4437, recall: 0.7637, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.6587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.6603, kappa: 0.5735, kb_relative_information_score: 854.6463, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7931, predictive_accuracy: 0.6788, prior_entropy: 2.4437, recall: 0.6788, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.272, kappa: 0.1915, kb_relative_information_score: 768.123, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7539, predictive_accuracy: 0.2856, prior_entropy: 2.4437, recall: 0.2856, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.2471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.7075, kappa: 0.6482, kb_relative_information_score: 1544.7671, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7125, predictive_accuracy: 0.7228, prior_entropy: 2.4437, recall: 0.7228, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.757, kappa: 0.6977, kb_relative_information_score: 2142.2629, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7579, predictive_accuracy: 0.7597, prior_entropy: 2.4437, recall: 0.7597, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.6858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8395, kappa: 0.8005, kb_relative_information_score: 2515.0184, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8524, predictive_accuracy: 0.843, prior_entropy: 2.4437, recall: 0.843, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.5512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 648.5198, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7137, kappa: 0.6499, kb_relative_information_score: 154.8082, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8027, predictive_accuracy: 0.7338, prior_entropy: 2.4437, recall: 0.7338, relative_absolute_error: 1.042, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.0207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.7718, kappa: 0.7149, kb_relative_information_score: 2176.6836, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7736, predictive_accuracy: 0.7734, prior_entropy: 2.4437, recall: 0.7734, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.249, root_relative_squared_error: 0.6822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.3318, kappa: 0.2286, kb_relative_information_score: 647.9576, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.3077, predictive_accuracy: 0.4466, prior_entropy: 2.4437, recall: 0.4466, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.0258, kappa: 0.0018, kb_relative_information_score: 58.9267, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.4798, predictive_accuracy: 0.1124, prior_entropy: 2.4437, recall: 0.1124, relative_absolute_error: 1.1101, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.4901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7211, kappa: 0.6617, kb_relative_information_score: 154.7758, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7798, predictive_accuracy: 0.7406, prior_entropy: 2.4437, recall: 0.7406, relative_absolute_error: 1.042, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.0207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.5287, kappa: 0.396, kb_relative_information_score: 1394.9439, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.777, predictive_accuracy: 0.5559, prior_entropy: 2.4437, recall: 0.5559, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3848, root_relative_squared_error: 1.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.6389, kappa: 0.5584, kb_relative_information_score: 742.2319, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.7334, predictive_accuracy: 0.6586, prior_entropy: 2.4437, recall: 0.6586, relative_absolute_error: 0.8968, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8574, kappa: 0.8218, kb_relative_information_score: 2667.3755, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.8621, predictive_accuracy: 0.8571, prior_entropy: 2.4437, recall: 0.8571, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.1339, kb_relative_information_score: 0.5875, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4437, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.365, root_relative_squared_error: 1,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs