Task
Supervised Classification on cjs

Supervised Classification on cjs

Task 14967 Supervised Classification cjs 10695 runs submitted
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  • OpenML100 study_107 study_123 study_14
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10695 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9711, kappa: 0.9646, kb_relative_information_score: 2701.0932, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9711, predictive_accuracy: 0.971, prior_entropy: 2.5207, recall: 0.971, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.2628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8975, kappa: 0.8754, kb_relative_information_score: 2468.5181, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8975, predictive_accuracy: 0.8981, prior_entropy: 2.5207, recall: 0.8981, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9572, kappa: 0.9476, kb_relative_information_score: 2655.6822, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9573, predictive_accuracy: 0.9571, prior_entropy: 2.5207, recall: 0.9571, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9377, kappa: 0.924, kb_relative_information_score: 2582.1337, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9381, predictive_accuracy: 0.9378, prior_entropy: 2.5207, recall: 0.9378, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.3435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8669, kappa: 0.8354, kb_relative_information_score: 2329.3458, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8704, predictive_accuracy: 0.8652, prior_entropy: 2.5207, recall: 0.8652, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.4691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8905, kappa: 0.8656, kb_relative_information_score: 2404.3892, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8915, predictive_accuracy: 0.8898, prior_entropy: 2.5207, recall: 0.8898, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.4348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8856, kappa: 0.8594, kb_relative_information_score: 2413.0287, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8871, predictive_accuracy: 0.8848, prior_entropy: 2.5207, recall: 0.8848, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.4335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9449, kappa: 0.9327, kb_relative_information_score: 2620.0751, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9449, predictive_accuracy: 0.9449, prior_entropy: 2.5207, recall: 0.9449, relative_absolute_error: 0.0695, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.3207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9422, kappa: 0.9292, kb_relative_information_score: 2602.77, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9427, predictive_accuracy: 0.9421, prior_entropy: 2.5207, recall: 0.9421, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.8566, kappa: 0.8245, kb_relative_information_score: 2324.0659, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8579, predictive_accuracy: 0.8562, prior_entropy: 2.5207, recall: 0.8562, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8806, kappa: 0.8529, kb_relative_information_score: 2390.7643, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8828, predictive_accuracy: 0.8795, prior_entropy: 2.5207, recall: 0.8795, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.896, kappa: 0.8722, kb_relative_information_score: 2457.9091, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8972, predictive_accuracy: 0.8952, prior_entropy: 2.5207, recall: 0.8952, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9381, kappa: 0.9244, kb_relative_information_score: 2605.9087, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 2.5207, recall: 0.9381, relative_absolute_error: 0.0748, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.13, root_relative_squared_error: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9214, kappa: 0.9043, kb_relative_information_score: 2545.3105, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 2.5207, recall: 0.9217, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.3684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8463, kappa: 0.8114, kb_relative_information_score: 2279.7468, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8486, predictive_accuracy: 0.8455, prior_entropy: 2.5207, recall: 0.8455, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9636, kappa: 0.9554, kb_relative_information_score: 2678.5569, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9637, predictive_accuracy: 0.9635, prior_entropy: 2.5207, recall: 0.9635, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.2877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.908, kappa: 0.8873, kb_relative_information_score: 2488.8752, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9089, predictive_accuracy: 0.9077, prior_entropy: 2.5207, recall: 0.9077, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.3915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.917, kappa: 0.8986, kb_relative_information_score: 2510.1835, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9175, predictive_accuracy: 0.917, prior_entropy: 2.5207, recall: 0.917, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9807, kappa: 0.9764, kb_relative_information_score: 2731.5146, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9807, predictive_accuracy: 0.9807, prior_entropy: 2.5207, recall: 0.9807, relative_absolute_error: 0.024, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.2146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9106, kappa: 0.8908, kb_relative_information_score: 2495.4814, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9109, predictive_accuracy: 0.9106, prior_entropy: 2.5207, recall: 0.9106, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8477, kappa: 0.8134, kb_relative_information_score: 2280.881, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8486, predictive_accuracy: 0.8473, prior_entropy: 2.5207, recall: 0.8473, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8706, kappa: 0.8414, kb_relative_information_score: 2365.4806, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8719, predictive_accuracy: 0.8702, prior_entropy: 2.5207, recall: 0.8702, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.4558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8761, kappa: 0.8488, kb_relative_information_score: 2392.4706, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8763, predictive_accuracy: 0.8763, prior_entropy: 2.5207, recall: 0.8763, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.4434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9327, kappa: 0.9178, kb_relative_information_score: 2586.4477, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9331, predictive_accuracy: 0.9328, prior_entropy: 2.5207, recall: 0.9328, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.3405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9151, kappa: 0.8968, kb_relative_information_score: 2531.6336, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9153, predictive_accuracy: 0.9156, prior_entropy: 2.5207, recall: 0.9156, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8359, kappa: 0.7993, kb_relative_information_score: 2244.5844, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8368, predictive_accuracy: 0.8358, prior_entropy: 2.5207, recall: 0.8358, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8903, kappa: 0.8655, kb_relative_information_score: 2423.92, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.891, predictive_accuracy: 0.8898, prior_entropy: 2.5207, recall: 0.8898, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9033, kappa: 0.8817, kb_relative_information_score: 2478.0795, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9039, predictive_accuracy: 0.9031, prior_entropy: 2.5207, recall: 0.9031, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.3994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8419, kappa: 0.8045, kb_relative_information_score: 2273.7025, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.847, predictive_accuracy: 0.8398, prior_entropy: 2.5207, recall: 0.8398, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8359, kappa: 0.7993, kb_relative_information_score: 2244.5844, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8368, predictive_accuracy: 0.8358, prior_entropy: 2.5207, recall: 0.8358, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8922, kappa: 0.8688, kb_relative_information_score: 2462.8813, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.892, predictive_accuracy: 0.8927, prior_entropy: 2.5207, recall: 0.8927, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9081, kappa: 0.8874, kb_relative_information_score: 2488.9846, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9089, predictive_accuracy: 0.9077, prior_entropy: 2.5207, recall: 0.9077, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9372, kappa: 0.9231, kb_relative_information_score: 2582.1671, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9375, predictive_accuracy: 0.9371, prior_entropy: 2.5207, recall: 0.9371, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.129, root_relative_squared_error: 0.3493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8755, kappa: 0.848, kb_relative_information_score: 2390.9038, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8756, predictive_accuracy: 0.8755, prior_entropy: 2.5207, recall: 0.8755, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.4445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9197, kappa: 0.902, kb_relative_information_score: 2535.4612, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9199, predictive_accuracy: 0.9199, prior_entropy: 2.5207, recall: 0.9199, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.854, kappa: 0.8201, kb_relative_information_score: 2310.6381, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8564, predictive_accuracy: 0.8526, prior_entropy: 2.5207, recall: 0.8526, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8857, kappa: 0.8602, kb_relative_information_score: 2405.6188, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.886, predictive_accuracy: 0.8856, prior_entropy: 2.5207, recall: 0.8856, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.4289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9438, kappa: 0.9314, kb_relative_information_score: 2623.0616, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.944, predictive_accuracy: 0.9438, prior_entropy: 2.5207, recall: 0.9438, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.128, root_relative_squared_error: 0.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9346, kappa: 0.9201, kb_relative_information_score: 2590.1203, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9349, predictive_accuracy: 0.9345, prior_entropy: 2.5207, recall: 0.9345, relative_absolute_error: 0.0829, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8475, kappa: 0.8127, kb_relative_information_score: 2277.9281, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8496, predictive_accuracy: 0.8466, prior_entropy: 2.5207, recall: 0.8466, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9273, kappa: 0.9113, kb_relative_information_score: 2548.6818, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9276, predictive_accuracy: 0.9274, prior_entropy: 2.5207, recall: 0.9274, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8557, kappa: 0.8234, kb_relative_information_score: 2321.8968, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8564, predictive_accuracy: 0.8555, prior_entropy: 2.5207, recall: 0.8555, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9274, kappa: 0.9113, kb_relative_information_score: 2559.5135, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9277, predictive_accuracy: 0.9274, prior_entropy: 2.5207, recall: 0.9274, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.133, root_relative_squared_error: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9047, kappa: 0.8836, kb_relative_information_score: 2487.206, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9052, predictive_accuracy: 0.9049, prior_entropy: 2.5207, recall: 0.9049, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8532, kappa: 0.82, kb_relative_information_score: 2312.6162, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8542, predictive_accuracy: 0.8526, prior_entropy: 2.5207, recall: 0.8526, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8557, kappa: 0.8234, kb_relative_information_score: 2321.5126, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8564, predictive_accuracy: 0.8555, prior_entropy: 2.5207, recall: 0.8555, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.172, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9033, kappa: 0.8817, kb_relative_information_score: 2478.2028, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9039, predictive_accuracy: 0.9031, prior_entropy: 2.5207, recall: 0.9031, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9033, kappa: 0.8817, kb_relative_information_score: 2477.9934, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9039, predictive_accuracy: 0.9031, prior_entropy: 2.5207, recall: 0.9031, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9177, kappa: 0.8995, kb_relative_information_score: 2541.022, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9179, predictive_accuracy: 0.9177, prior_entropy: 2.5207, recall: 0.9177, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.3795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9431, kappa: 0.9305, kb_relative_information_score: 2619.0011, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9432, predictive_accuracy: 0.9431, prior_entropy: 2.5207, recall: 0.9431, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.3461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.8564, kappa: 0.8243, kb_relative_information_score: 2322.5661, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8571, predictive_accuracy: 0.8562, prior_entropy: 2.5207, recall: 0.8562, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.4651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8359, kappa: 0.7993, kb_relative_information_score: 2244.5844, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8368, predictive_accuracy: 0.8358, prior_entropy: 2.5207, recall: 0.8358, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8595, kappa: 0.8284, kb_relative_information_score: 2352.4108, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.86, predictive_accuracy: 0.8594, prior_entropy: 2.5207, recall: 0.8594, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.4599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.905, kappa: 0.8838, kb_relative_information_score: 2479.5619, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9066, predictive_accuracy: 0.9049, prior_entropy: 2.5207, recall: 0.9049, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9354, kappa: 0.9209, kb_relative_information_score: 2568.9527, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.936, predictive_accuracy: 0.9353, prior_entropy: 2.5207, recall: 0.9353, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.129, root_relative_squared_error: 0.3492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8484, kappa: 0.8147, kb_relative_information_score: 2288.9315, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8487, predictive_accuracy: 0.8484, prior_entropy: 2.5207, recall: 0.8484, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8431, kappa: 0.807, kb_relative_information_score: 2270.5899, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8452, predictive_accuracy: 0.8419, prior_entropy: 2.5207, recall: 0.8419, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8712, kappa: 0.8419, kb_relative_information_score: 2357.715, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8733, predictive_accuracy: 0.8705, prior_entropy: 2.5207, recall: 0.8705, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.169, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8537, kappa: 0.8205, kb_relative_information_score: 2303.4318, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8552, predictive_accuracy: 0.853, prior_entropy: 2.5207, recall: 0.853, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8468, kappa: 0.8118, kb_relative_information_score: 2277.5367, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8489, predictive_accuracy: 0.8459, prior_entropy: 2.5207, recall: 0.8459, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.938, kappa: 0.924, kb_relative_information_score: 2581.8658, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9385, predictive_accuracy: 0.9378, prior_entropy: 2.5207, recall: 0.9378, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.3477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8691, kappa: 0.8395, kb_relative_information_score: 2347.4227, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8705, predictive_accuracy: 0.8687, prior_entropy: 2.5207, recall: 0.8687, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8942, kappa: 0.8707, kb_relative_information_score: 2451.272, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.895, predictive_accuracy: 0.8941, prior_entropy: 2.5207, recall: 0.8941, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.4185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8472, kappa: 0.8122, kb_relative_information_score: 2278.5397, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8492, predictive_accuracy: 0.8462, prior_entropy: 2.5207, recall: 0.8462, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.4898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8463, kappa: 0.8114, kb_relative_information_score: 2279.7468, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8486, predictive_accuracy: 0.8455, prior_entropy: 2.5207, recall: 0.8455, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9449, kappa: 0.9327, kb_relative_information_score: 2617.7201, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.945, predictive_accuracy: 0.9449, prior_entropy: 2.5207, recall: 0.9449, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.3273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8473, kappa: 0.8129, kb_relative_information_score: 2280.7024, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8482, predictive_accuracy: 0.8469, prior_entropy: 2.5207, recall: 0.8469, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9189, kappa: 0.9008, kb_relative_information_score: 2520.6824, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9192, predictive_accuracy: 0.9188, prior_entropy: 2.5207, recall: 0.9188, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.3757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9492, kappa: 0.938, kb_relative_information_score: 2627.1805, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9495, predictive_accuracy: 0.9492, prior_entropy: 2.5207, recall: 0.9492, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8857, kappa: 0.8594, kb_relative_information_score: 2412.6498, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8873, predictive_accuracy: 0.8848, prior_entropy: 2.5207, recall: 0.8848, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8684, kappa: 0.8386, kb_relative_information_score: 2346.9633, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8698, predictive_accuracy: 0.868, prior_entropy: 2.5207, recall: 0.868, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.4526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9317, kappa: 0.9165, kb_relative_information_score: 2583.2575, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9319, predictive_accuracy: 0.9317, prior_entropy: 2.5207, recall: 0.9317, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.3684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9375, kappa: 0.9236, kb_relative_information_score: 2584.0974, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9378, predictive_accuracy: 0.9374, prior_entropy: 2.5207, recall: 0.9374, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.3487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9335, kappa: 0.9187, kb_relative_information_score: 2566.2816, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.934, predictive_accuracy: 0.9335, prior_entropy: 2.5207, recall: 0.9335, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.851, kappa: 0.8175, kb_relative_information_score: 2311.6854, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8521, predictive_accuracy: 0.8505, prior_entropy: 2.5207, recall: 0.8505, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.4788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8903, kappa: 0.8655, kb_relative_information_score: 2423.8742, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.891, predictive_accuracy: 0.8898, prior_entropy: 2.5207, recall: 0.8898, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.4266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9261, kappa: 0.9096, kb_relative_information_score: 2540.6669, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9268, predictive_accuracy: 0.926, prior_entropy: 2.5207, recall: 0.926, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.3669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8615, kappa: 0.8289, kb_relative_information_score: 2325.0676, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8648, predictive_accuracy: 0.8598, prior_entropy: 2.5207, recall: 0.8598, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8805, kappa: 0.8529, kb_relative_information_score: 2390.6336, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8827, predictive_accuracy: 0.8795, prior_entropy: 2.5207, recall: 0.8795, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.4425,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8788, kappa: 0.8507, kb_relative_information_score: 2394.5801, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8811, predictive_accuracy: 0.8777, prior_entropy: 2.5207, recall: 0.8777, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.4429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8979, kappa: 0.8758, kb_relative_information_score: 2470.182, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8979, predictive_accuracy: 0.8984, prior_entropy: 2.5207, recall: 0.8984, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8615, kappa: 0.8289, kb_relative_information_score: 2325.1481, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8648, predictive_accuracy: 0.8598, prior_entropy: 2.5207, recall: 0.8598, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.174, root_relative_squared_error: 0.4712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8505, kappa: 0.8157, kb_relative_information_score: 2294.7588, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8542, predictive_accuracy: 0.8491, prior_entropy: 2.5207, recall: 0.8491, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.4815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9263, kappa: 0.91, kb_relative_information_score: 2557.9872, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9265, predictive_accuracy: 0.9263, prior_entropy: 2.5207, recall: 0.9263, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.134, root_relative_squared_error: 0.3627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9284, kappa: 0.9126, kb_relative_information_score: 2553.5791, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9288, predictive_accuracy: 0.9285, prior_entropy: 2.5207, recall: 0.9285, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.3543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9077, kappa: 0.8869, kb_relative_information_score: 2488.4412, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9084, predictive_accuracy: 0.9074, prior_entropy: 2.5207, recall: 0.9074, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8805, kappa: 0.8529, kb_relative_information_score: 2390.5912, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8827, predictive_accuracy: 0.8795, prior_entropy: 2.5207, recall: 0.8795, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.4426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8372, kappa: 0.8026, kb_relative_information_score: 2252.3019, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8365, predictive_accuracy: 0.8387, prior_entropy: 2.5207, recall: 0.8387, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.955, kappa: 0.945, kb_relative_information_score: 2652.4005, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.955, predictive_accuracy: 0.9549, prior_entropy: 2.5207, recall: 0.9549, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.3057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9197, kappa: 0.902, kb_relative_information_score: 2539.4463, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9198, predictive_accuracy: 0.9199, prior_entropy: 2.5207, recall: 0.9199, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.3765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.924, kappa: 0.9073, kb_relative_information_score: 2552.4265, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9241, predictive_accuracy: 0.9242, prior_entropy: 2.5207, recall: 0.9242, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8975, kappa: 0.8754, kb_relative_information_score: 2469.9328, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8974, predictive_accuracy: 0.8981, prior_entropy: 2.5207, recall: 0.8981, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8595, kappa: 0.8284, kb_relative_information_score: 2352.3692, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.86, predictive_accuracy: 0.8594, prior_entropy: 2.5207, recall: 0.8594, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.879, kappa: 0.851, kb_relative_information_score: 2370.8598, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8818, predictive_accuracy: 0.878, prior_entropy: 2.5207, recall: 0.878, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.4401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8866, kappa: 0.8607, kb_relative_information_score: 2392.5482, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8883, predictive_accuracy: 0.8859, prior_entropy: 2.5207, recall: 0.8859, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.4339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9504, kappa: 0.9393, kb_relative_information_score: 2624.2528, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9507, predictive_accuracy: 0.9503, prior_entropy: 2.5207, recall: 0.9503, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.3154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8664, kappa: 0.8357, kb_relative_information_score: 2342.5864, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8687, predictive_accuracy: 0.8655, prior_entropy: 2.5207, recall: 0.8655, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.4534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8706, kappa: 0.8414, kb_relative_information_score: 2365.3923, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8719, predictive_accuracy: 0.8702, prior_entropy: 2.5207, recall: 0.8702, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8532, kappa: 0.82, kb_relative_information_score: 2312.6162, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8542, predictive_accuracy: 0.8526, prior_entropy: 2.5207, recall: 0.8526, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.465,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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

OpenML APIs