OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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66544 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9922, kappa: 0.97, kb_relative_information_score: 6016.551, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.6204, recall: 0.9923, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.2375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9896, kappa: 0.9599, kb_relative_information_score: 5871.6715, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.6204, recall: 0.9897, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.2656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9895, kappa: 0.9593, kb_relative_information_score: 5748.8143, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.6204, recall: 0.9895, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.2777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6521.6569, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0109, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9867, kappa: 0.9486, kb_relative_information_score: 5587.9555, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9867, predictive_accuracy: 0.9868, prior_entropy: 0.6204, recall: 0.9868, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9887, kappa: 0.9562, kb_relative_information_score: 5631.2324, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 0.6204, recall: 0.9888, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.3002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.843, kappa: 0.312, kb_relative_information_score: -10552.0496, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8937, predictive_accuracy: 0.8784, prior_entropy: 0.6204, recall: 0.8784, relative_absolute_error: 1.6965, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6472.4385, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9882, kappa: 0.9544, kb_relative_information_score: 5703.5968, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.6204, recall: 0.9883, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.2836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6337.7276, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9711, kappa: 0.8864, kb_relative_information_score: -7974.3538, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9716, predictive_accuracy: 0.9718, prior_entropy: 0.6204, recall: 0.9718, relative_absolute_error: 1.4438, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3813, root_relative_squared_error: 1.0559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9792, kappa: 0.9188, kb_relative_information_score: 5240.5655, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9794, predictive_accuracy: 0.9795, prior_entropy: 0.6204, recall: 0.9795, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -8939.6271, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.5178, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3963, root_relative_squared_error: 1.0976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6434.5361, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0285, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2629.563, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.7903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, kb_relative_information_score: -2715.2632, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.068, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9927, kappa: 0.9717, kb_relative_information_score: 6174.5281, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.6204, recall: 0.9927, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.2122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, kb_relative_information_score: -2706.3009, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0677, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: -9492.7004, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 1.5732, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, kb_relative_information_score: -2705.121, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0675, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, kb_relative_information_score: -2687.7615, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0665, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6487.1127, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0343, root_relative_squared_error: 0.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9004, kappa: 0.577, kb_relative_information_score: -11903.5085, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9225, predictive_accuracy: 0.9147, prior_entropy: 0.6204, recall: 0.9147, relative_absolute_error: 1.8462, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4816, root_relative_squared_error: 1.3339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: -4769.4183, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 1.1441, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9957, kappa: 0.9836, kb_relative_information_score: 6204.6694, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 0.6204, recall: 0.9958, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9788, kappa: 0.9164, kb_relative_information_score: -12134.9666, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9799, predictive_accuracy: 0.9794, prior_entropy: 0.6204, recall: 0.9794, relative_absolute_error: 1.874, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.3538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9901, kappa: 0.9618, kb_relative_information_score: 5680.7641, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.6204, recall: 0.9901, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.2872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9889, kappa: 0.9571, kb_relative_information_score: 5708.8514, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 0.6204, recall: 0.9889, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9924, kb_relative_information_score: -6087.9887, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 1.2635, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9854, kappa: 0.9437, kb_relative_information_score: 5749.1554, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9854, predictive_accuracy: 0.9855, prior_entropy: 0.6204, recall: 0.9855, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6456.619, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0399, root_relative_squared_error: 0.1104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.98, kappa: 0.9222, kb_relative_information_score: 5084.2322, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9802, predictive_accuracy: 0.9803, prior_entropy: 0.6204, recall: 0.9803, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.3891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9953, kb_relative_information_score: 6280.35, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9795, kappa: 0.9199, kb_relative_information_score: 5269.0252, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 0.6204, recall: 0.9798, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9854, kappa: 0.9433, kb_relative_information_score: 5374.6307, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.6204, recall: 0.9856, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.3377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9851, kappa: 0.9423, kb_relative_information_score: 5646.3248, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9852, predictive_accuracy: 0.9853, prior_entropy: 0.6204, recall: 0.9853, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.3189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 4277.0459, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9954, kappa: 0.9825, kb_relative_information_score: 6063.3799, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9954, predictive_accuracy: 0.9955, prior_entropy: 0.6204, recall: 0.9955, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9911, kappa: 0.9658, kb_relative_information_score: 5895.6242, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.6204, recall: 0.9912, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 3688.6411, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6227.8283, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0688, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8369, kappa: 0.2838, kb_relative_information_score: -9855.2694, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8912, predictive_accuracy: 0.8751, prior_entropy: 0.6204, recall: 0.8751, relative_absolute_error: 1.6262, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4279, root_relative_squared_error: 1.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6542.7354, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0082, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0309, root_relative_squared_error: 0.0855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9908, kappa: 0.9646, kb_relative_information_score: 5827.3496, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.6204, recall: 0.9909, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.2581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -9662.8632, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.5916, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4154, root_relative_squared_error: 1.1504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.7774, kappa: 0.0099, kb_relative_information_score: 35.0975, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8703, predictive_accuracy: 0.8468, prior_entropy: 0.6204, recall: 0.8468, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9892, kappa: 0.9582, kb_relative_information_score: 5709.8451, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.6204, recall: 0.9892, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9933, kappa: 0.9742, kb_relative_information_score: 6008.7009, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.6204, recall: 0.9933, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.2241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9918, kb_relative_information_score: -11702.1328, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 1.8219, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.3163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9893, kappa: 0.9586, kb_relative_information_score: 5895.9921, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.6204, recall: 0.9894, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.2731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6375.6664, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0365, root_relative_squared_error: 0.1012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6565.7985, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0279, root_relative_squared_error: 0.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9979, kappa: 0.9918, kb_relative_information_score: -4369.1314, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 1.1114, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9876, kappa: 0.9523, kb_relative_information_score: 5926.5009, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9877, predictive_accuracy: 0.9877, prior_entropy: 0.6204, recall: 0.9877, relative_absolute_error: 0.0979, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.2721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9968, kappa: 0.9877, kb_relative_information_score: 6166.2677, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.6204, recall: 0.9968, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0659, root_relative_squared_error: 0.1826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9794, kappa: 0.9198, kb_relative_information_score: -1606.9942, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9795, predictive_accuracy: 0.9797, prior_entropy: 0.6204, recall: 0.9797, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9953, kb_relative_information_score: 6483.8172, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0328, root_relative_squared_error: 0.0909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.8897, kappa: 0.5282, kb_relative_information_score: 2626.3419, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9164, predictive_accuracy: 0.9072, prior_entropy: 0.6204, recall: 0.9072, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9948, kappa: 0.98, kb_relative_information_score: 6039.1156, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9948, predictive_accuracy: 0.9948, prior_entropy: 0.6204, recall: 0.9948, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.2093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: -8878.1934, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 1.512, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3949, root_relative_squared_error: 1.0937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9812, kappa: 0.927, kb_relative_information_score: 4868.945, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9814, predictive_accuracy: 0.9815, prior_entropy: 0.6204, recall: 0.9815, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9806, kappa: 0.924, kb_relative_information_score: -6420.5041, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.6204, recall: 0.9811, relative_absolute_error: 1.306, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9902, kappa: 0.9621, kb_relative_information_score: 5683.5725, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6204, recall: 0.9903, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.2836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9884, kappa: 0.9548, kb_relative_information_score: 5642.2061, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9885, predictive_accuracy: 0.9885, prior_entropy: 0.6204, recall: 0.9885, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.2933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9968, kappa: 0.9877, kb_relative_information_score: 6117.5855, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.6204, recall: 0.9968, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.1934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9445, kappa: 0.7733, kb_relative_information_score: -9547.6595, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9509, predictive_accuracy: 0.9486, prior_entropy: 0.6204, recall: 0.9486, relative_absolute_error: 1.5892, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.1533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9873, kappa: 0.9509, kb_relative_information_score: 5522.5346, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.6204, recall: 0.9874, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9939, kappa: 0.9765, kb_relative_information_score: 6098.3916, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.6204, recall: 0.9939, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.2173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9907, kappa: 0.9641, kb_relative_information_score: 5793.2527, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9907, predictive_accuracy: 0.9908, prior_entropy: 0.6204, recall: 0.9908, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.2712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.989, kappa: 0.9572, kb_relative_information_score: 5669.7081, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.6204, recall: 0.9891, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9953, kappa: 0.9818, kb_relative_information_score: 6101.8774, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.6204, recall: 0.9953, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6262.2155, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.059, root_relative_squared_error: 0.1635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9879, kappa: 0.9532, kb_relative_information_score: 5653.2107, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.6204, recall: 0.988, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.3049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6542.3096, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9915, kappa: 0.9672, kb_relative_information_score: -8934.6784, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.6204, recall: 0.9915, relative_absolute_error: 1.5258, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4009, root_relative_squared_error: 1.1102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9882, kappa: 0.9545, kb_relative_information_score: 5670.3973, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.6204, recall: 0.9883, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.997, kappa: 0.9883, kb_relative_information_score: 6148.6427, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.6204, recall: 0.997, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.1616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9898, kappa: 0.9605, kb_relative_information_score: 5716.307, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.6204, recall: 0.9898, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9847, kappa: 0.9405, kb_relative_information_score: 5582.2786, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.6204, recall: 0.9848, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.3277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6233.641, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.1672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -9007.7767, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.5235, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3977, root_relative_squared_error: 1.1014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8215, kappa: 0.2126, kb_relative_information_score: -9432.6769, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8851, predictive_accuracy: 0.8671, prior_entropy: 0.6204, recall: 0.8671, relative_absolute_error: 1.5861, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4189, root_relative_squared_error: 1.1601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9773, kappa: 0.9113, kb_relative_information_score: 5286.3205, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9776, predictive_accuracy: 0.9777, prior_entropy: 0.6204, recall: 0.9777, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9611, kappa: 0.8436, kb_relative_information_score: -10315.4455, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9646, predictive_accuracy: 0.9632, prior_entropy: 0.6204, recall: 0.9632, relative_absolute_error: 1.667, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4357, root_relative_squared_error: 1.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9889, kb_relative_information_score: 6335.7205, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.1483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -11092.2832, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.7506, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4567, root_relative_squared_error: 1.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9959, kappa: 0.9842, kb_relative_information_score: -4386.1427, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.6204, recall: 0.9959, relative_absolute_error: 1.1132, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9783, kb_relative_information_score: 6038.0916, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.6204, recall: 0.9944, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -6582.7236, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.2932, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.338, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9887, kappa: 0.9563, kb_relative_information_score: 5412.3598, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9887, predictive_accuracy: 0.9888, prior_entropy: 0.6204, recall: 0.9888, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.3339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9773, kappa: 0.9123, kb_relative_information_score: 5516.698, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9773, predictive_accuracy: 0.9776, prior_entropy: 0.6204, recall: 0.9776, relative_absolute_error: 0.1486, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.3619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6502.4973, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0328, root_relative_squared_error: 0.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.975, kappa: 0.9023, kb_relative_information_score: 4662.8109, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9755, predictive_accuracy: 0.9756, prior_entropy: 0.6204, recall: 0.9756, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9895, kappa: 0.9594, kb_relative_information_score: 5879.737, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.6204, recall: 0.9895, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: -5303.6961, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 1.1925, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.8674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8929, kappa: 0.5433, kb_relative_information_score: 2863.9677, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.917, predictive_accuracy: 0.9092, prior_entropy: 0.6204, recall: 0.9092, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.7758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9953, kb_relative_information_score: 6550.951, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0319, root_relative_squared_error: 0.0882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.949, kb_relative_information_score: -7179.788, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9872, predictive_accuracy: 0.9871, prior_entropy: 0.6204, recall: 0.9871, relative_absolute_error: 1.3679, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -6871.3078, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.3145, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.9508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9859, kappa: 0.9455, kb_relative_information_score: 5492.2411, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.986, predictive_accuracy: 0.9861, prior_entropy: 0.6204, recall: 0.9861, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.325,

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