OpenML
Supervised Classification on iris

Supervised Classification on iris

Task 59 Supervised Classification iris 4584 runs submitted
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  • basic study_1 study_41 study_50 study_7 study_89 testsuite under100k under1m
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4584 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 131.3478, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 127.6981, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.888, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.1843, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.2832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.1531, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1553, kb_relative_information_score: 0.929, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 135.0879, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2966, kappa: -0.5, kb_relative_information_score: -0.3098, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4444, number_of_instances: 150, prior_entropy: 1.585, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 135.3022, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.132, root_relative_squared_error: 0.2799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.9879, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.6085, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 133.9207, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.2955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 137.0939, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9872, predictive_accuracy: 0.9867, prior_entropy: 1.585, recall: 0.9867, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.099, kb_relative_information_score: 1.204, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3141, f_measure: 0.3571, kappa: 0.05, kb_relative_information_score: -0.6978, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.3487, predictive_accuracy: 0.3667, prior_entropy: 1.585, recall: 0.3667, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4744, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 127.8992, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9547, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9333, kappa: 0.9, kb_relative_information_score: 131.1943, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0885, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.4449, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 125.8249, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.7341, kappa: 0.61, kb_relative_information_score: 67.8053, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7678, predictive_accuracy: 0.74, prior_entropy: 1.585, recall: 0.74, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.7938, kappa: 0.71, kb_relative_information_score: 83.9937, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8533, predictive_accuracy: 0.8067, prior_entropy: 1.585, recall: 0.8067, relative_absolute_error: 0.526, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 133.1168, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9405, kappa: 0.91, kb_relative_information_score: 128.6722, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9419, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, kappa: 0.5, kb_relative_information_score: 51.502, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.6652, kappa: 0.54, kb_relative_information_score: 57.7833, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6861, predictive_accuracy: 0.6933, prior_entropy: 1.585, recall: 0.6933, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9266, kappa: 0.89, kb_relative_information_score: 130.9095, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9276, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.8669, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.5972, kappa: 0.42, kb_relative_information_score: 62.1696, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6032, predictive_accuracy: 0.6133, prior_entropy: 1.585, recall: 0.6133, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 132.2576, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.1816, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.2798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.5978, kappa: 0.53, kb_relative_information_score: 17.8454, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8385, predictive_accuracy: 0.6867, prior_entropy: 1.585, recall: 0.6867, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.0436, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 132.9252, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.2857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 131.1198, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, kappa: 0.35, kb_relative_information_score: 28.4875, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.5667, prior_entropy: 1.585, recall: 0.5667, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.904, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.2526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9129, kappa: 0.87, kb_relative_information_score: 124.3412, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9183, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.5918, kappa: 0.47, kb_relative_information_score: 55.5896, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6112, predictive_accuracy: 0.6467, prior_entropy: 1.585, recall: 0.6467, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.6378, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 120.7372, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9539, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.259, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9263, kappa: 0.89, kb_relative_information_score: 104.7381, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9319, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.9903, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 137.2669, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1167, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.2491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 136.3222, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8662, kappa: 0.8, kb_relative_information_score: 91.2112, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8696, predictive_accuracy: 0.8667, prior_entropy: 1.585, recall: 0.8667, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1665, kb_relative_information_score: 1.5637, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, kappa: 0.5, kb_relative_information_score: 1.9302, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 132.064, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.4352, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.2572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.934, kappa: 0.9, kb_relative_information_score: 122.151, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9379, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 122.8013, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 131.3114, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9372, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.249, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 135.1906, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 134.2894, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.2869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 133.977, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1692, kb_relative_information_score: 0.3882, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.5101, kappa: 0.38, kb_relative_information_score: 10.6939, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.5, predictive_accuracy: 0.5867, prior_entropy: 1.585, recall: 0.5867, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9599, kappa: 0.94, kb_relative_information_score: 136.626, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9619, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.2697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 135.245, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.2755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0973, kb_relative_information_score: 1.0964, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 133.9928, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.2841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8932, kappa: 0.84, kb_relative_information_score: 119.2054, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8948, predictive_accuracy: 0.8933, prior_entropy: 1.585, recall: 0.8933, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 133.0138, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1363, kb_relative_information_score: 1.3461, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 137.8511, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 133.2624, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9372, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.584, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 131.2917, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.4498, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.123, root_relative_squared_error: 0.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.2068, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.129, root_relative_squared_error: 0.2736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.6668, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9536, kappa: 0.93, kb_relative_information_score: 129.7638, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9547, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.156, root_relative_squared_error: 0.3308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9067, kappa: 0.86, kb_relative_information_score: 123.0683, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9067, predictive_accuracy: 0.9067, prior_entropy: 1.585, recall: 0.9067, relative_absolute_error: 0.2251, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.7277, kappa: 0.6, kb_relative_information_score: 77.6404, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.7266, predictive_accuracy: 0.7333, prior_entropy: 1.585, recall: 0.7333, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.5556, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 109.4978, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1665, kb_relative_information_score: -0.17, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 133.495, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 131.6344, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 123.965, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9471, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.2251, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 136.4115, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.3488, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 136.4349, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, recall: 0.98, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8999, kappa: 0.85, kb_relative_information_score: 118.9626, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9008, predictive_accuracy: 0.9, prior_entropy: 1.585, recall: 0.9, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.9743, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.2715, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 133.9567, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, recall: 0.9733, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.3009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3781, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 128.2405, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.8995, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1137, kappa: -0.29, kb_relative_information_score: -0.3757, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4444, number_of_instances: 150, predictive_accuracy: 0.14, prior_entropy: 1.585, recall: 0.14, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8918, kappa: 0.84, kb_relative_information_score: 96.7915, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9072, predictive_accuracy: 0.8933, prior_entropy: 1.585, recall: 0.8933, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 128.6924, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.6599, kappa: 0.53, kb_relative_information_score: 56.4683, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.6808, predictive_accuracy: 0.6867, prior_entropy: 1.585, recall: 0.6867, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8378,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs