Task
Supervised Classification on la2s.wc

Supervised Classification on la2s.wc

Task 3528 Supervised Classification la2s.wc 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.7685, kappa: 0.709, kb_relative_information_score: 2153.1397, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7751, predictive_accuracy: 0.7688, prior_entropy: 2.4305, recall: 0.7688, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.6913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, kappa: 0.2474, kb_relative_information_score: 642.6735, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, predictive_accuracy: 0.4618, prior_entropy: 2.4305, recall: 0.4618, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.7826, kappa: 0.72, kb_relative_information_score: 2156.4108, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8121, predictive_accuracy: 0.775, prior_entropy: 2.4305, recall: 0.775, relative_absolute_error: 0.3716, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.6364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8519, kappa: 0.815, kb_relative_information_score: 2523.8205, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8516, predictive_accuracy: 0.853, prior_entropy: 2.4305, recall: 0.853, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.825, kappa: 0.7766, kb_relative_information_score: 2189.6924, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8316, predictive_accuracy: 0.8231, prior_entropy: 2.4305, recall: 0.8231, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8229, kappa: 0.7843, kb_relative_information_score: 1978.878, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8316, predictive_accuracy: 0.8296, prior_entropy: 2.4305, recall: 0.8296, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.6254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7716, kappa: 0.7124, kb_relative_information_score: 2246.678, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7727, predictive_accuracy: 0.7707, prior_entropy: 2.4305, recall: 0.7707, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8607, kappa: 0.8252, kb_relative_information_score: 980.5277, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8623, predictive_accuracy: 0.8611, prior_entropy: 2.4305, recall: 0.8611, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.8721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.677, kappa: 0.5912, kb_relative_information_score: 1673.371, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.6943, predictive_accuracy: 0.681, prior_entropy: 2.4305, recall: 0.681, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 664.9814, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, f_measure: 0.0486, kappa: 0.05, kb_relative_information_score: 183.4612, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.17, predictive_accuracy: 0.1343, prior_entropy: 2.4305, recall: 0.1343, relative_absolute_error: 1.0869, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.5372, root_relative_squared_error: 1.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8572, kappa: 0.8203, kb_relative_information_score: 2307.5551, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8585, predictive_accuracy: 0.8576, prior_entropy: 2.4305, recall: 0.8576, relative_absolute_error: 0.3511, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.5302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8294, kappa: 0.7857, kb_relative_information_score: 2463.4653, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8327, predictive_accuracy: 0.8302, prior_entropy: 2.4305, recall: 0.8302, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.219, root_relative_squared_error: 0.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.1338, kb_relative_information_score: 59.4947, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4305, recall: 0.2943, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3648, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.1693, kappa: 0.0097, kb_relative_information_score: 45.6034, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.1652, predictive_accuracy: 0.2976, prior_entropy: 2.4305, recall: 0.2976, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3644, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8783, kappa: 0.847, kb_relative_information_score: 2586.3419, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8791, predictive_accuracy: 0.8784, prior_entropy: 2.4305, recall: 0.8784, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.8988, kappa: 0.8726, kb_relative_information_score: 2603.5536, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.9005, predictive_accuracy: 0.8989, prior_entropy: 2.4305, recall: 0.8989, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.1338, kb_relative_information_score: 56.1386, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4305, recall: 0.2943, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3647, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8118, kappa: 0.7629, kb_relative_information_score: 2345.7119, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8131, predictive_accuracy: 0.8111, prior_entropy: 2.4305, recall: 0.8111, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.5973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8817, kappa: 0.8532, kb_relative_information_score: 2127.3772, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8888, predictive_accuracy: 0.8842, prior_entropy: 2.4305, recall: 0.8842, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.5547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8786, kappa: 0.8501, kb_relative_information_score: 2081.3555, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8874, predictive_accuracy: 0.882, prior_entropy: 2.4305, recall: 0.882, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8779, kappa: 0.8466, kb_relative_information_score: 2566.1266, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.879, predictive_accuracy: 0.878, prior_entropy: 2.4305, recall: 0.878, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.4879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8517, kappa: 0.8138, kb_relative_information_score: 2077.4583, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8551, predictive_accuracy: 0.8527, prior_entropy: 2.4305, recall: 0.8527, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 669.655, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.9108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7813, kappa: 0.7257, kb_relative_information_score: 2204.0264, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7825, predictive_accuracy: 0.7818, prior_entropy: 2.4305, recall: 0.7818, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.6849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.8219, kappa: 0.7885, kb_relative_information_score: 1546.5998, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8618, predictive_accuracy: 0.8358, prior_entropy: 2.4305, recall: 0.8358, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.7044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8687, kappa: 0.8362, kb_relative_information_score: 2602.7796, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8691, predictive_accuracy: 0.8699, prior_entropy: 2.4305, recall: 0.8699, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8314, kappa: 0.7897, kb_relative_information_score: 2305.5125, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8311, predictive_accuracy: 0.8328, prior_entropy: 2.4305, recall: 0.8328, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8298, kappa: 0.7861, kb_relative_information_score: 2264.6349, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8316, predictive_accuracy: 0.8302, prior_entropy: 2.4305, recall: 0.8302, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.858, kappa: 0.8208, kb_relative_information_score: 2528.6778, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8595, predictive_accuracy: 0.8579, prior_entropy: 2.4305, recall: 0.8579, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8625, kappa: 0.8266, kb_relative_information_score: 2565.9399, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8645, predictive_accuracy: 0.8628, prior_entropy: 2.4305, recall: 0.8628, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8544, kappa: 0.8176, kb_relative_information_score: 2536.6117, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.855, predictive_accuracy: 0.8556, prior_entropy: 2.4305, recall: 0.8556, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.5261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8251, kappa: 0.7798, kb_relative_information_score: 2214.4341, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8269, predictive_accuracy: 0.8257, prior_entropy: 2.4305, recall: 0.8257, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.5742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.785, kappa: 0.7321, kb_relative_information_score: 2268.7404, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7852, predictive_accuracy: 0.786, prior_entropy: 2.4305, recall: 0.786, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.7172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7851, kappa: 0.7307, kb_relative_information_score: 2237.2956, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7852, predictive_accuracy: 0.7857, prior_entropy: 2.4305, recall: 0.7857, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.8731, kappa: 0.8446, kb_relative_information_score: 2010.9234, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8842, predictive_accuracy: 0.8777, prior_entropy: 2.4305, recall: 0.8777, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.5864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8669, kappa: 0.8376, kb_relative_information_score: 1965.5174, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8799, predictive_accuracy: 0.8725, prior_entropy: 2.4305, recall: 0.8725, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8636, kappa: 0.8341, kb_relative_information_score: 1884.6221, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8801, predictive_accuracy: 0.8699, prior_entropy: 2.4305, recall: 0.8699, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8569, kappa: 0.8289, kb_relative_information_score: 1824.8434, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8768, predictive_accuracy: 0.866, prior_entropy: 2.4305, recall: 0.866, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.6352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7939, kappa: 0.7513, kb_relative_information_score: 1574.3234, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.823, predictive_accuracy: 0.8065, prior_entropy: 2.4305, recall: 0.8065, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8251, kappa: 0.7798, kb_relative_information_score: 2214.4341, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8269, predictive_accuracy: 0.8257, prior_entropy: 2.4305, recall: 0.8257, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.5742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8434, kappa: 0.8136, kb_relative_information_score: 1750.3015, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8686, predictive_accuracy: 0.8543, prior_entropy: 2.4305, recall: 0.8543, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.7354, kappa: 0.6773, kb_relative_information_score: 1614.8688, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7434, predictive_accuracy: 0.747, prior_entropy: 2.4305, recall: 0.747, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.7238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8336, kappa: 0.8043, kb_relative_information_score: 1682.8477, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8616, predictive_accuracy: 0.8475, prior_entropy: 2.4305, recall: 0.8475, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.6718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.816, kappa: 0.7687, kb_relative_information_score: 2259.4849, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8172, predictive_accuracy: 0.8163, prior_entropy: 2.4305, recall: 0.8163, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.5813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.1338, kb_relative_information_score: 0.5021, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4305, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3643, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.8302, kappa: 0.7966, kb_relative_information_score: 1619.1992, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8612, predictive_accuracy: 0.8416, prior_entropy: 2.4305, recall: 0.8416, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.251, root_relative_squared_error: 0.6889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8154, kappa: 0.7819, kb_relative_information_score: 1575.5172, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8541, predictive_accuracy: 0.8306, prior_entropy: 2.4305, recall: 0.8306, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8071, kappa: 0.7717, kb_relative_information_score: 1517.8035, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.845, predictive_accuracy: 0.8228, prior_entropy: 2.4305, recall: 0.8228, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.7142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.5067, kappa: 0.3825, kb_relative_information_score: 1309.5787, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.5069, predictive_accuracy: 0.5083, prior_entropy: 2.4305, recall: 0.5083, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.397, root_relative_squared_error: 1.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8032, kappa: 0.7674, kb_relative_information_score: 1488.866, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8456, predictive_accuracy: 0.8198, prior_entropy: 2.4305, recall: 0.8198, relative_absolute_error: 0.6781, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.7992, kappa: 0.7613, kb_relative_information_score: 1451.1508, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8395, predictive_accuracy: 0.8153, prior_entropy: 2.4305, recall: 0.8153, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.266, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.5675, kappa: 0.4716, kb_relative_information_score: 1278.2479, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.5675, predictive_accuracy: 0.5847, prior_entropy: 2.4305, recall: 0.5847, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.8312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.5922, kappa: 0.4871, kb_relative_information_score: 1333.8016, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.604, predictive_accuracy: 0.5925, prior_entropy: 2.4305, recall: 0.5925, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.8239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.6542, kappa: 0.5768, kb_relative_information_score: 1591.9257, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.6716, predictive_accuracy: 0.6618, prior_entropy: 2.4305, recall: 0.6618, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.7031, kappa: 0.6313, kb_relative_information_score: 1744.9689, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7081, predictive_accuracy: 0.7063, prior_entropy: 2.4305, recall: 0.7063, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.5664, kappa: 0.442, kb_relative_information_score: 1446.0915, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7944, predictive_accuracy: 0.5893, prior_entropy: 2.4305, recall: 0.5893, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.37, root_relative_squared_error: 1.0156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.7215, kappa: 0.6532, kb_relative_information_score: 1837.413, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7244, predictive_accuracy: 0.7239, prior_entropy: 2.4305, recall: 0.7239, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.7205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 951.5841, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4216, root_relative_squared_error: 1.1573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.7405, kappa: 0.676, kb_relative_information_score: 1934.444, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7404, predictive_accuracy: 0.7415, prior_entropy: 2.4305, recall: 0.7415, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.6979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.7639, kappa: 0.7058, kb_relative_information_score: 2032.1288, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7667, predictive_accuracy: 0.7642, prior_entropy: 2.4305, recall: 0.7642, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.7607, kappa: 0.7009, kb_relative_information_score: 2029.8322, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7605, predictive_accuracy: 0.7616, prior_entropy: 2.4305, recall: 0.7616, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.6755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8469, kappa: 0.807, kb_relative_information_score: 2359.6401, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8482, predictive_accuracy: 0.8468, prior_entropy: 2.4305, recall: 0.8468, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.7631, kappa: 0.7018, kb_relative_information_score: 918.4613, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.78, predictive_accuracy: 0.7652, prior_entropy: 2.4305, recall: 0.7652, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.7567, kappa: 0.6957, kb_relative_information_score: 2032.373, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.756, predictive_accuracy: 0.758, prior_entropy: 2.4305, recall: 0.758, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.7658, kappa: 0.7067, kb_relative_information_score: 2086.3583, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7652, predictive_accuracy: 0.7672, prior_entropy: 2.4305, recall: 0.7672, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.6713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.3163, kappa: 0.2069, kb_relative_information_score: 797.2236, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.6476, predictive_accuracy: 0.3278, prior_entropy: 2.4305, recall: 0.3278, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4051, root_relative_squared_error: 1.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.7687, kappa: 0.7095, kb_relative_information_score: 2136.0913, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7689, predictive_accuracy: 0.7694, prior_entropy: 2.4305, recall: 0.7694, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8078, kappa: 0.7602, kb_relative_information_score: 2378.1477, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8133, predictive_accuracy: 0.8078, prior_entropy: 2.4305, recall: 0.8078, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.3857, kappa: 0.2687, kb_relative_information_score: 1021.563, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.5984, predictive_accuracy: 0.3889, prior_entropy: 2.4305, recall: 0.3889, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4119, root_relative_squared_error: 1.1307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.5228, kappa: 0.4031, kb_relative_information_score: 1343.4126, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.5241, predictive_accuracy: 0.5233, prior_entropy: 2.4305, recall: 0.5233, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 951.6466, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4216, root_relative_squared_error: 1.1573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.7768, kappa: 0.7206, kb_relative_information_score: 2165.684, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7765, predictive_accuracy: 0.7776, prior_entropy: 2.4305, recall: 0.7776, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.7731, kappa: 0.7159, kb_relative_information_score: 2192.949, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7726, predictive_accuracy: 0.774, prior_entropy: 2.4305, recall: 0.774, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.6885, kappa: 0.6095, kb_relative_information_score: 1437.8583, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7246, predictive_accuracy: 0.693, prior_entropy: 2.4305, recall: 0.693, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.7627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.4214, kappa: 0.3059, kb_relative_information_score: 1085.5173, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.577, predictive_accuracy: 0.4267, prior_entropy: 2.4305, recall: 0.4267, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4367, root_relative_squared_error: 1.1986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.7804, kappa: 0.7399, kb_relative_information_score: 1394.1135, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8354, predictive_accuracy: 0.7997, prior_entropy: 2.4305, recall: 0.7997, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.7451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8116, kappa: 0.762, kb_relative_information_score: 2416.5539, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.815, predictive_accuracy: 0.8098, prior_entropy: 2.4305, recall: 0.8098, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.6493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.7737, kappa: 0.7124, kb_relative_information_score: 2256.7326, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.797, predictive_accuracy: 0.7694, prior_entropy: 2.4305, recall: 0.7694, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.6611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.7104, kappa: 0.6272, kb_relative_information_score: 849.343, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8172, predictive_accuracy: 0.7177, prior_entropy: 2.4305, recall: 0.7177, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.8962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.715, kappa: 0.6528, kb_relative_information_score: 1541.4552, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.724, predictive_accuracy: 0.7278, prior_entropy: 2.4305, recall: 0.7278, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.7417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.784, kappa: 0.7282, kb_relative_information_score: 2158.5107, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7851, predictive_accuracy: 0.7841, prior_entropy: 2.4305, recall: 0.7841, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.6549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8542, kappa: 0.8175, kb_relative_information_score: 2482.7116, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8647, predictive_accuracy: 0.8566, prior_entropy: 2.4305, recall: 0.8566, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.5209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.2648, kappa: 0.2029, kb_relative_information_score: 774.7116, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8118, predictive_accuracy: 0.2846, prior_entropy: 2.4305, recall: 0.2846, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4382, root_relative_squared_error: 1.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 664.7236, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7055, kappa: 0.6326, kb_relative_information_score: 151.8566, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8147, predictive_accuracy: 0.7229, prior_entropy: 2.4305, recall: 0.7229, relative_absolute_error: 1.046, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.688, kappa: 0.6183, kb_relative_information_score: 1776.2821, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7071, predictive_accuracy: 0.6943, prior_entropy: 2.4305, recall: 0.6943, relative_absolute_error: 0.5315, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.267, root_relative_squared_error: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.7753, kappa: 0.7171, kb_relative_information_score: 2122.8208, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7766, predictive_accuracy: 0.7753, prior_entropy: 2.4305, recall: 0.7753, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.6718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.3541, kappa: 0.2526, kb_relative_information_score: 679.6921, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3331, predictive_accuracy: 0.4657, prior_entropy: 2.4305, recall: 0.4657, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.9095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.772, kappa: 0.7132, kb_relative_information_score: 2236.7504, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7725, predictive_accuracy: 0.772, prior_entropy: 2.4305, recall: 0.772, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.7566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.0324, kappa: 0.0029, kb_relative_information_score: 82.2736, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.5655, predictive_accuracy: 0.1249, prior_entropy: 2.4305, recall: 0.1249, relative_absolute_error: 1.0987, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.4824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7247, kappa: 0.6578, kb_relative_information_score: 151.7943, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.803, predictive_accuracy: 0.7392, prior_entropy: 2.4305, recall: 0.7392, relative_absolute_error: 1.046, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3726, root_relative_squared_error: 1.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.5664, kappa: 0.442, kb_relative_information_score: 1446.0915, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7944, predictive_accuracy: 0.5893, prior_entropy: 2.4305, recall: 0.5893, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.37, root_relative_squared_error: 1.0156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.6618, kappa: 0.5794, kb_relative_information_score: 1816.2464, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.6645, predictive_accuracy: 0.6683, prior_entropy: 2.4305, recall: 0.6683, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.8911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6734, kappa: 0.5987, kb_relative_information_score: 761.2381, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7678, predictive_accuracy: 0.6891, prior_entropy: 2.4305, recall: 0.6891, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.332, root_relative_squared_error: 0.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8582, kappa: 0.8242, kb_relative_information_score: 2568.207, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.8605, predictive_accuracy: 0.8595, prior_entropy: 2.4305, recall: 0.8595, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.5602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.1338, kb_relative_information_score: 0.5021, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4305, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3643, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7615, kappa: 0.6975, kb_relative_information_score: 2202.5426, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.7857, predictive_accuracy: 0.7564, prior_entropy: 2.4305, recall: 0.7564, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.7802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 664.9814, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.488, kappa: 0.3586, kb_relative_information_score: 1213.2095, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.4907, predictive_accuracy: 0.4881, prior_entropy: 2.4305, recall: 0.4881, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4131, root_relative_squared_error: 1.1338,

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

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

OpenML APIs