OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 19119 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

19119 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8354, kappa: 0.8167, kb_relative_information_score: 1624.7752, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8359, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.5061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.4467, kappa: 0.4128, kb_relative_information_score: 594.2807, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4844, predictive_accuracy: 0.4715, prior_entropy: 3.3219, recall: 0.4715, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.7814, kappa: 0.7694, kb_relative_information_score: 1588.4948, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7909, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.7802, kappa: 0.7594, kb_relative_information_score: 1586.3311, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7787, predictive_accuracy: 0.7835, prior_entropy: 3.3219, recall: 0.7835, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.5392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8164, kappa: 0.7956, kb_relative_information_score: 1571.4179, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8188, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.5369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.7401, kappa: 0.7161, kb_relative_information_score: 1291.8058, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.747, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.6684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8244, kappa: 0.8056, kb_relative_information_score: 1615.7479, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8246, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.5187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8209, kappa: 0.8017, kb_relative_information_score: 1614.6721, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8212, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8019, kappa: 0.78, kb_relative_information_score: 1496.7736, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8037, predictive_accuracy: 0.802, prior_entropy: 3.3219, recall: 0.802, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.5661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0501, kappa: -0.11, kb_relative_information_score: 5.9631, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.001, prior_entropy: 3.3219, recall: 0.001, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8163, kappa: 0.7967, kb_relative_information_score: 1525.2915, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8167, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.5507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8295, kappa: 0.8083, kb_relative_information_score: 23.5256, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8326, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.7085, kappa: 0.6733, kb_relative_information_score: 1367.1667, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.72, predictive_accuracy: 0.706, prior_entropy: 3.3219, recall: 0.706, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kappa: -0.0017, kb_relative_information_score: 0.3672, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0985, prior_entropy: 3.3219, recall: 0.0985, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.831, kappa: 0.8128, kb_relative_information_score: 1543.3697, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8315, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.5379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8416, kappa: 0.8239, kb_relative_information_score: 54.8348, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8429, predictive_accuracy: 0.8415, prior_entropy: 3.3219, recall: 0.8415, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8381, kappa: 0.8194, kb_relative_information_score: 29.1971, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8419, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.5908, kappa: 0.5606, kb_relative_information_score: 1009.0708, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7226, predictive_accuracy: 0.6045, prior_entropy: 3.3219, recall: 0.6045, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.7989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.8562, kappa: 0.84, kb_relative_information_score: 1726.2838, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 3.3219, recall: 0.856, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.7978, kappa: 0.775, kb_relative_information_score: 1515.2555, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8003, predictive_accuracy: 0.7975, prior_entropy: 3.3219, recall: 0.7975, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.169, root_relative_squared_error: 0.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, kappa: 0.39, kb_relative_information_score: 30.4821, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.451, prior_entropy: 3.3219, recall: 0.451, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.2559, kappa: 0.2178, kb_relative_information_score: 402.0652, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.278, predictive_accuracy: 0.296, prior_entropy: 3.3219, recall: 0.296, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8127, kappa: 0.7933, kb_relative_information_score: 1616.7558, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.813, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8337, kappa: 0.815, kb_relative_information_score: 1603.9611, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8345, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.155, root_relative_squared_error: 0.5167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8234, kappa: 0.8011, kb_relative_information_score: 1683.4447, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8279, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.156, root_relative_squared_error: 0.5199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8107, kappa: 0.785, kb_relative_information_score: 1633.5943, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8197, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.7953, kappa: 0.7733, kb_relative_information_score: 1464.1498, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7968, predictive_accuracy: 0.796, prior_entropy: 3.3219, recall: 0.796, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: 19.6492, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8182, kappa: 0.7983, kb_relative_information_score: 1582.9089, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8194, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.5313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8353, kappa: 0.8172, kb_relative_information_score: 1566.9709, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.836, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.7854, kappa: 0.7639, kb_relative_information_score: 1549.1337, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7854, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.5608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8318, kappa: 0.8139, kb_relative_information_score: 1667.2435, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.832, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8346, kappa: 0.8161, kb_relative_information_score: 56.7824, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8356, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.805, kappa: 0.7778, kb_relative_information_score: 1560.2947, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8174, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8029, kappa: 0.7744, kb_relative_information_score: 1610.4881, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8172, predictive_accuracy: 0.797, prior_entropy: 3.3219, recall: 0.797, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8305, kappa: 0.8128, kb_relative_information_score: 1551.8589, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8306, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8295, kappa: 0.8117, kb_relative_information_score: 1514.2038, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8297, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.165, root_relative_squared_error: 0.5501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, kappa: 0.3139, kb_relative_information_score: 22.5615, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.3825, prior_entropy: 3.3219, recall: 0.3825, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8148, kappa: 0.7894, kb_relative_information_score: 1631.7611, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.828, predictive_accuracy: 0.8105, prior_entropy: 3.3219, recall: 0.8105, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.161, root_relative_squared_error: 0.5366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8405, kappa: 0.8228, kb_relative_information_score: 1611.9293, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8413, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.5118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8439, kappa: 0.8261, kb_relative_information_score: 1668.2393, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8446, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.4845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8523, kappa: 0.8361, kb_relative_information_score: 1687.522, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8526, predictive_accuracy: 0.8525, prior_entropy: 3.3219, recall: 0.8525, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.142, root_relative_squared_error: 0.4734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.868, kappa: 0.8533, kb_relative_information_score: 1686.0941, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8683, predictive_accuracy: 0.868, prior_entropy: 3.3219, recall: 0.868, relative_absolute_error: 0.2598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.6975, kappa: 0.6644, kb_relative_information_score: 1368.3625, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7202, predictive_accuracy: 0.698, prior_entropy: 3.3219, recall: 0.698, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.3019, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8386, kappa: 0.82, kb_relative_information_score: 1624.7978, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8396, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8389, kappa: 0.8222, kb_relative_information_score: 1666.9786, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8387, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8161, kappa: 0.7917, kb_relative_information_score: 1647.4733, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8215, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8414, kappa: 0.8244, kb_relative_information_score: 1565.0912, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8414, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.6463, kappa: 0.595, kb_relative_information_score: 926.1735, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.713, predictive_accuracy: 0.6355, prior_entropy: 3.3219, recall: 0.6355, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8337, kappa: 0.815, kb_relative_information_score: 1600.5149, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8354, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.5177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.6182, kappa: 0.5933, kb_relative_information_score: 782.8717, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7339, predictive_accuracy: 0.634, prior_entropy: 3.3219, recall: 0.634, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8515, kappa: 0.8356, kb_relative_information_score: 1685.1031, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8516, predictive_accuracy: 0.852, prior_entropy: 3.3219, recall: 0.852, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8001, kappa: 0.7794, kb_relative_information_score: 1504.651, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8011, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8305, kappa: 0.8117, kb_relative_information_score: 1575.0799, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8317, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8731, kappa: 0.8589, kb_relative_information_score: 1736.9648, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8735, predictive_accuracy: 0.873, prior_entropy: 3.3219, recall: 0.873, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.4387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4872, kappa: 0.0006, kb_relative_information_score: 4.4248, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.6641, kappa: 0.6433, kb_relative_information_score: 709.5987, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6982, predictive_accuracy: 0.679, prior_entropy: 3.3219, recall: 0.679, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, kappa: 0.2856, kb_relative_information_score: 280.4921, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.357, prior_entropy: 3.3219, recall: 0.357, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8258, kappa: 0.8067, kb_relative_information_score: 1598.9758, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8262, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8163, kappa: 0.7978, kb_relative_information_score: 1416.5764, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8171, predictive_accuracy: 0.818, prior_entropy: 3.3219, recall: 0.818, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8365, kappa: 0.8183, kb_relative_information_score: 1604.8472, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8372, predictive_accuracy: 0.8365, prior_entropy: 3.3219, recall: 0.8365, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.5183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8415, kappa: 0.8244, kb_relative_information_score: 54.8793, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8421, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6951, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7203, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.7953, kappa: 0.7739, kb_relative_information_score: 1522.1735, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7963, predictive_accuracy: 0.7965, prior_entropy: 3.3219, recall: 0.7965, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8317, kappa: 0.8133, kb_relative_information_score: 1606.2621, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8326, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.5137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8289, kappa: 0.8106, kb_relative_information_score: 1541.2148, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8298, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.5427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8059, kappa: 0.7856, kb_relative_information_score: 1524.3269, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8064, predictive_accuracy: 0.807, prior_entropy: 3.3219, recall: 0.807, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.5581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8222, kappa: 0.8022, kb_relative_information_score: 41.0434, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8236, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7936, kappa: 0.7706, kb_relative_information_score: 1522.2834, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7957, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.3588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8371, kappa: 0.8189, kb_relative_information_score: 1608.657, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8385, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.154, root_relative_squared_error: 0.5132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8681, kappa: 0.8533, kb_relative_information_score: 1683.7273, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8687, predictive_accuracy: 0.868, prior_entropy: 3.3219, recall: 0.868, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.7947, kappa: 0.7644, kb_relative_information_score: 1486.4311, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8117, predictive_accuracy: 0.788, prior_entropy: 3.3219, recall: 0.788, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.5681, kappa: 0.5367, kb_relative_information_score: 734.0965, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6105, predictive_accuracy: 0.583, prior_entropy: 3.3219, recall: 0.583, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.8775, kappa: 0.8639, kb_relative_information_score: 1732.4987, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8778, predictive_accuracy: 0.8775, prior_entropy: 3.3219, recall: 0.8775, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.4394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, kappa: 0.0689, kb_relative_information_score: 53.1557, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.162, prior_entropy: 3.3219, recall: 0.162, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.298, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4191, kappa: -0.0294, kb_relative_information_score: -0.0359, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0735, prior_entropy: 3.3219, recall: 0.0735, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.754, kappa: 0.7256, kb_relative_information_score: 1476.8641, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7595, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8396, kappa: 0.8206, kb_relative_information_score: 34.5156, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8423, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8416, kappa: 0.8244, kb_relative_information_score: 1602.0475, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.5117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8275, kappa: 0.8083, kb_relative_information_score: 1559.7787, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8282, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.5308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8015, kappa: 0.7828, kb_relative_information_score: 1591.1088, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8062, predictive_accuracy: 0.8045, prior_entropy: 3.3219, recall: 0.8045, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.7995, kappa: 0.7761, kb_relative_information_score: 1577.8152, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.802, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.1633, kappa: 0.0822, kb_relative_information_score: 272.4086, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6698, predictive_accuracy: 0.174, prior_entropy: 3.3219, recall: 0.174, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4064, root_relative_squared_error: 1.3548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8451, kappa: 0.8278, kb_relative_information_score: 1675.8152, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8458, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8418, kappa: 0.8244, kb_relative_information_score: 1669.5406, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8418, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.7924, kappa: 0.7689, kb_relative_information_score: 1548.9148, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7949, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.5669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.826, kappa: 0.8067, kb_relative_information_score: 1563.6714, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8276, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6949, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7191, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7908, kappa: 0.7661, kb_relative_information_score: 1572.0758, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7933, predictive_accuracy: 0.7895, prior_entropy: 3.3219, recall: 0.7895, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8294, kappa: 0.8111, kb_relative_information_score: 1603.304, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.5174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6951, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7203, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.0738, kappa: 0.0178, kb_relative_information_score: 151.1008, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7307, predictive_accuracy: 0.116, prior_entropy: 3.3219, recall: 0.116, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4205, root_relative_squared_error: 1.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8322, kappa: 0.8139, kb_relative_information_score: 1585.5314, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8329, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8294, kappa: 0.8128, kb_relative_information_score: 1438.2217, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8289, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8117, kappa: 0.7922, kb_relative_information_score: 1608.8867, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8145, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8105, kappa: 0.79, kb_relative_information_score: 1539.6368, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8114, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.5511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.062, kappa: 0.0106, kb_relative_information_score: 137.5059, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7304, predictive_accuracy: 0.1095, prior_entropy: 3.3219, recall: 0.1095, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.422, root_relative_squared_error: 1.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.1625, kappa: 0.0817, kb_relative_information_score: 271.3629, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6698, predictive_accuracy: 0.1735, prior_entropy: 3.3219, recall: 0.1735, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.3552,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs