Task
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 174023 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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174023 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.8172, kappa: 0.3919, kb_relative_information_score: 0.4326, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8288, predictive_accuracy: 0.841, prior_entropy: 0.7318, recall: 0.841, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.7965, kappa: 0.35, kb_relative_information_score: 0.3095, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7912, predictive_accuracy: 0.8065, prior_entropy: 0.7318, recall: 0.8065, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.0896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5559, f_measure: 0.7533, kappa: 0.1626, kb_relative_information_score: 0.33, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8038, predictive_accuracy: 0.8123, prior_entropy: 0.7318, recall: 0.8123, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.0733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, f_measure: 0.7694, kappa: 0.2655, kb_relative_information_score: 0.2138, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7625, predictive_accuracy: 0.7797, prior_entropy: 0.7318, recall: 0.7797, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4694, root_relative_squared_error: 1.1627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.8078, kappa: 0.3645, kb_relative_information_score: 0.3915, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.811, predictive_accuracy: 0.8295, prior_entropy: 0.7318, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, f_measure: 0.8144, kappa: 0.382, kb_relative_information_score: 0.4257, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8263, predictive_accuracy: 0.8391, prior_entropy: 0.7318, recall: 0.8391, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6165, f_measure: 0.7954, kappa: 0.3106, kb_relative_information_score: 0.3984, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8225, predictive_accuracy: 0.8314, prior_entropy: 0.7318, recall: 0.8314, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.7324, kappa: 0.0918, kb_relative_information_score: 0.3027, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7995, predictive_accuracy: 0.8046, prior_entropy: 0.7318, recall: 0.8046, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.442, root_relative_squared_error: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.7822, kappa: 0.2633, kb_relative_information_score: 0.3779, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8257, prior_entropy: 0.7318, recall: 0.8257, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.8047, kappa: 0.3432, kb_relative_information_score: 0.4189, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8304, predictive_accuracy: 0.8372, prior_entropy: 0.7318, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.8016, kappa: 0.3325, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8278, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.8128, kappa: 0.3773, kb_relative_information_score: 0.4189, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.823, predictive_accuracy: 0.8372, prior_entropy: 0.7318, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.816, kappa: 0.3866, kb_relative_information_score: 0.4326, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8297, predictive_accuracy: 0.841, prior_entropy: 0.7318, recall: 0.841, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.816, kappa: 0.3866, kb_relative_information_score: 0.4326, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8297, predictive_accuracy: 0.841, prior_entropy: 0.7318, recall: 0.841, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5312, f_measure: 0.732, kappa: 0.0903, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7429, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.7088, kappa: 0.0148, kb_relative_information_score: 0.2753, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8382, predictive_accuracy: 0.7969, prior_entropy: 0.7318, recall: 0.7969, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, f_measure: 0.7354, kappa: 0.1061, kb_relative_information_score: 0.2343, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7288, predictive_accuracy: 0.7854, prior_entropy: 0.7318, recall: 0.7854, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4632, root_relative_squared_error: 1.1474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.7088, kappa: 0.0148, kb_relative_information_score: 0.2753, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8382, predictive_accuracy: 0.7969, prior_entropy: 0.7318, recall: 0.7969, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.7428, kappa: 0.1388, kb_relative_information_score: 0.2206, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7331, predictive_accuracy: 0.7816, prior_entropy: 0.7318, recall: 0.7816, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4673, root_relative_squared_error: 1.1576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.8089, kappa: 0.3607, kb_relative_information_score: 0.4189, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8257, predictive_accuracy: 0.8372, prior_entropy: 0.7318, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.7088, kappa: 0.0148, kb_relative_information_score: 0.2753, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8382, predictive_accuracy: 0.7969, prior_entropy: 0.7318, recall: 0.7969, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.7509, kappa: 0.1687, kb_relative_information_score: 0.2343, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7427, predictive_accuracy: 0.7854, prior_entropy: 0.7318, recall: 0.7854, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4632, root_relative_squared_error: 1.1474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.7938, kappa: 0.3042, kb_relative_information_score: 0.3984, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8248, predictive_accuracy: 0.8314, prior_entropy: 0.7318, recall: 0.8314, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.7938, kappa: 0.3042, kb_relative_information_score: 0.3984, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8248, predictive_accuracy: 0.8314, prior_entropy: 0.7318, recall: 0.8314, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.7938, kappa: 0.3042, kb_relative_information_score: 0.3984, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8248, predictive_accuracy: 0.8314, prior_entropy: 0.7318, recall: 0.8314, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.8069, kappa: 0.3581, kb_relative_information_score: 0.3984, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8142, predictive_accuracy: 0.8314, prior_entropy: 0.7318, recall: 0.8314, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, f_measure: 0.8009, kappa: 0.3391, kb_relative_information_score: 0.3779, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8056, predictive_accuracy: 0.8257, prior_entropy: 0.7318, recall: 0.8257, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.7952, kappa: 0.3187, kb_relative_information_score: 0.3642, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7999, predictive_accuracy: 0.8218, prior_entropy: 0.7318, recall: 0.8218, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.8204, kappa: 0.4014, kb_relative_information_score: 0.4462, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8356, predictive_accuracy: 0.8448, prior_entropy: 0.7318, recall: 0.8448, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.757, kappa: 0.1907, kb_relative_information_score: 0.248, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.75, predictive_accuracy: 0.7893, prior_entropy: 0.7318, recall: 0.7893, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.1371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.8147, kappa: 0.3813, kb_relative_information_score: 0.4326, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8307, predictive_accuracy: 0.841, prior_entropy: 0.7318, recall: 0.841, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.8147, kappa: 0.3813, kb_relative_information_score: 0.4326, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8307, predictive_accuracy: 0.841, prior_entropy: 0.7318, recall: 0.841, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.7088, kappa: 0.0148, kb_relative_information_score: 0.2753, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8382, predictive_accuracy: 0.7969, prior_entropy: 0.7318, recall: 0.7969, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.8119, kappa: 0.371, kb_relative_information_score: 0.4257, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8282, predictive_accuracy: 0.8391, prior_entropy: 0.7318, recall: 0.8391, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5443, f_measure: 0.7444, kappa: 0.1322, kb_relative_information_score: 0.3232, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8146, predictive_accuracy: 0.8103, prior_entropy: 0.7318, recall: 0.8103, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4355, root_relative_squared_error: 1.0788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5198, f_measure: 0.723, kappa: 0.0602, kb_relative_information_score: 0.2822, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7654, predictive_accuracy: 0.7989, prior_entropy: 0.7318, recall: 0.7989, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4485, root_relative_squared_error: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, f_measure: 0.8012, kappa: 0.3378, kb_relative_information_score: 0.3847, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8087, predictive_accuracy: 0.8276, prior_entropy: 0.7318, recall: 0.8276, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.7983, kappa: 0.3275, kb_relative_information_score: 0.3779, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8059, predictive_accuracy: 0.8257, prior_entropy: 0.7318, recall: 0.8257, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.7981, kappa: 0.3289, kb_relative_information_score: 0.371, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8027, predictive_accuracy: 0.8238, prior_entropy: 0.7318, recall: 0.8238, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.0399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.7586, kappa: 0.1976, kb_relative_information_score: 0.248, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7514, predictive_accuracy: 0.7893, prior_entropy: 0.7318, recall: 0.7893, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.1371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.7938, kappa: 0.3042, kb_relative_information_score: 0.3984, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8248, predictive_accuracy: 0.8314, prior_entropy: 0.7318, recall: 0.8314, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5531, f_measure: 0.7456, kappa: 0.1421, kb_relative_information_score: 0.2548, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7432, predictive_accuracy: 0.7912, prior_entropy: 0.7318, recall: 0.7912, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.457, root_relative_squared_error: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.7981, kappa: 0.3289, kb_relative_information_score: 0.371, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8027, predictive_accuracy: 0.8238, prior_entropy: 0.7318, recall: 0.8238, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.0399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, f_measure: 0.7996, kappa: 0.3333, kb_relative_information_score: 0.3779, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8057, predictive_accuracy: 0.8257, prior_entropy: 0.7318, recall: 0.8257, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, f_measure: 0.7996, kappa: 0.3333, kb_relative_information_score: 0.3779, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8057, predictive_accuracy: 0.8257, prior_entropy: 0.7318, recall: 0.8257, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.8043, kappa: 0.3566, kb_relative_information_score: 0.371, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8037, predictive_accuracy: 0.8238, prior_entropy: 0.7318, recall: 0.8238, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.0399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.8216, kappa: 0.4066, kb_relative_information_score: 0.4462, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8346, predictive_accuracy: 0.8448, prior_entropy: 0.7318, recall: 0.8448, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.7956, kappa: 0.3377, kb_relative_information_score: 0.3232, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7905, predictive_accuracy: 0.8103, prior_entropy: 0.7318, recall: 0.8103, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4355, root_relative_squared_error: 1.0788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.8143, kappa: 0.3891, kb_relative_information_score: 0.4052, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.7318, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.8041, kappa: 0.3867, kb_relative_information_score: 0.3163, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8008, predictive_accuracy: 0.8084, prior_entropy: 0.7318, recall: 0.8084, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4377, root_relative_squared_error: 1.0842,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.8215, kappa: 0.4315, kb_relative_information_score: 0.3915, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8178, predictive_accuracy: 0.8295, prior_entropy: 0.7318, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.7822, kappa: 0.2633, kb_relative_information_score: 0.3779, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8257, prior_entropy: 0.7318, recall: 0.8257, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.8213, kappa: 0.4126, kb_relative_information_score: 0.4257, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8241, predictive_accuracy: 0.8391, prior_entropy: 0.7318, recall: 0.8391, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.8175, kappa: 0.4188, kb_relative_information_score: 0.3779, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8136, predictive_accuracy: 0.8257, prior_entropy: 0.7318, recall: 0.8257, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.8175, kappa: 0.4188, kb_relative_information_score: 0.3779, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8136, predictive_accuracy: 0.8257, prior_entropy: 0.7318, recall: 0.8257, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.8156, kappa: 0.3873, kb_relative_information_score: 0.4257, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8256, predictive_accuracy: 0.8391, prior_entropy: 0.7318, recall: 0.8391, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.8147, kappa: 0.3813, kb_relative_information_score: 0.4326, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8307, predictive_accuracy: 0.841, prior_entropy: 0.7318, recall: 0.841, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.7882, kappa: 0.3317, kb_relative_information_score: 0.2685, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7834, predictive_accuracy: 0.795, prior_entropy: 0.7318, recall: 0.795, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, f_measure: 0.7939, kappa: 0.3258, kb_relative_information_score: 0.33, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7899, predictive_accuracy: 0.8123, prior_entropy: 0.7318, recall: 0.8123, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.0733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.7942, kappa: 0.3244, kb_relative_information_score: 0.3369, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7913, predictive_accuracy: 0.8142, prior_entropy: 0.7318, recall: 0.8142, relative_absolute_error: 0.569, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4311, root_relative_squared_error: 1.0678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.8061, kappa: 0.3492, kb_relative_information_score: 0.4189, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8285, predictive_accuracy: 0.8372, prior_entropy: 0.7318, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.7808, kappa: 0.3193, kb_relative_information_score: 0.2275, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7783, predictive_accuracy: 0.7835, prior_entropy: 0.7318, recall: 0.7835, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.1525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.8188, kappa: 0.3967, kb_relative_information_score: 0.4394, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8321, predictive_accuracy: 0.8429, prior_entropy: 0.7318, recall: 0.8429, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.8207, kappa: 0.4316, kb_relative_information_score: 0.3847, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.817, predictive_accuracy: 0.8276, prior_entropy: 0.7318, recall: 0.8276, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.8207, kappa: 0.4316, kb_relative_information_score: 0.3847, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.817, predictive_accuracy: 0.8276, prior_entropy: 0.7318, recall: 0.8276, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.8207, kappa: 0.4316, kb_relative_information_score: 0.3847, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.817, predictive_accuracy: 0.8276, prior_entropy: 0.7318, recall: 0.8276, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.7894, kappa: 0.298, kb_relative_information_score: 0.3505, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.794, predictive_accuracy: 0.818, prior_entropy: 0.7318, recall: 0.818, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4266, root_relative_squared_error: 1.0568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7307, kappa: 0.1409, kb_relative_information_score: 0.0839, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7211, predictive_accuracy: 0.7433, prior_entropy: 0.7318, recall: 0.7433, relative_absolute_error: 0.786, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.2551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7946, kappa: 0.3324, kb_relative_information_score: 0.3232, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7896, predictive_accuracy: 0.8103, prior_entropy: 0.7318, recall: 0.8103, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4355, root_relative_squared_error: 1.0788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.8279, kappa: 0.4528, kb_relative_information_score: 0.4121, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8246, predictive_accuracy: 0.8352, prior_entropy: 0.7318, recall: 0.8352, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7947, kappa: 0.3637, kb_relative_information_score: 0.2753, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7928, predictive_accuracy: 0.7969, prior_entropy: 0.7318, recall: 0.7969, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, f_measure: 0.7938, kappa: 0.3127, kb_relative_information_score: 0.3642, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7999, predictive_accuracy: 0.8218, prior_entropy: 0.7318, recall: 0.8218, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.8053, kappa: 0.3536, kb_relative_information_score: 0.3915, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8112, predictive_accuracy: 0.8295, prior_entropy: 0.7318, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.7941, kappa: 0.3337, kb_relative_information_score: 0.3163, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7887, predictive_accuracy: 0.8084, prior_entropy: 0.7318, recall: 0.8084, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4377, root_relative_squared_error: 1.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.82, kappa: 0.4019, kb_relative_information_score: 0.4394, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8313, predictive_accuracy: 0.8429, prior_entropy: 0.7318, recall: 0.8429, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9818,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.8053, kappa: 0.3536, kb_relative_information_score: 0.3915, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8112, predictive_accuracy: 0.8295, prior_entropy: 0.7318, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.804, kappa: 0.348, kb_relative_information_score: 0.3915, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8114, predictive_accuracy: 0.8295, prior_entropy: 0.7318, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6419, f_measure: 0.8038, kappa: 0.3491, kb_relative_information_score: 0.3847, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8083, predictive_accuracy: 0.8276, prior_entropy: 0.7318, recall: 0.8276, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.0286,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.8053, kappa: 0.3536, kb_relative_information_score: 0.3915, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8112, predictive_accuracy: 0.8295, prior_entropy: 0.7318, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.7941, kappa: 0.3337, kb_relative_information_score: 0.3163, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7887, predictive_accuracy: 0.8084, prior_entropy: 0.7318, recall: 0.8084, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4377, root_relative_squared_error: 1.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.8053, kappa: 0.3536, kb_relative_information_score: 0.3915, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8112, predictive_accuracy: 0.8295, prior_entropy: 0.7318, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.804, kappa: 0.348, kb_relative_information_score: 0.3915, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8114, predictive_accuracy: 0.8295, prior_entropy: 0.7318, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, f_measure: 0.8025, kappa: 0.3435, kb_relative_information_score: 0.3847, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8085, predictive_accuracy: 0.8276, prior_entropy: 0.7318, recall: 0.8276, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.7177, kappa: 0.0439, kb_relative_information_score: 0.289, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8407, predictive_accuracy: 0.8008, prior_entropy: 0.7318, recall: 0.8008, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4464, root_relative_squared_error: 1.1057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6419, f_measure: 0.8038, kappa: 0.3491, kb_relative_information_score: 0.3847, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8083, predictive_accuracy: 0.8276, prior_entropy: 0.7318, recall: 0.8276, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.8093, kappa: 0.369, kb_relative_information_score: 0.3984, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8137, predictive_accuracy: 0.8314, prior_entropy: 0.7318, recall: 0.8314, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.0171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.8133, kappa: 0.3902, kb_relative_information_score: 0.3915, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8121, predictive_accuracy: 0.8295, prior_entropy: 0.7318, recall: 0.8295, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.8179, kappa: 0.3908, kb_relative_information_score: 0.4462, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8383, predictive_accuracy: 0.8448, prior_entropy: 0.7318, recall: 0.8448, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.8069, kappa: 0.3662, kb_relative_information_score: 0.3779, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8064, predictive_accuracy: 0.8257, prior_entropy: 0.7318, recall: 0.8257, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.8188, kappa: 0.3967, kb_relative_information_score: 0.4394, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8321, predictive_accuracy: 0.8429, prior_entropy: 0.7318, recall: 0.8429, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9818,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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

OpenML APIs