OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13043 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML100 study_107 study_123 study_14 study_50 study_7
Issue #Downvotes for this reason By


Metric:

13043 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: 0.4841, kappa: 0.0025, kb_relative_information_score: 22.4085, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.6449, kappa: 0.6686, kb_relative_information_score: 898.8307, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6803, predictive_accuracy: 0.6719, prior_entropy: 6.6439, recall: 0.6719, relative_absolute_error: 0.8602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7637, kappa: 0.7721, kb_relative_information_score: 1033.2551, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7843, predictive_accuracy: 0.7744, prior_entropy: 6.6439, recall: 0.7744, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4574, kappa: -0.0044, kb_relative_information_score: 22.5411, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7805, kappa: 0.7898, kb_relative_information_score: 1099.2552, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7933, predictive_accuracy: 0.7919, prior_entropy: 6.6439, recall: 0.7919, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.7704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.331, kappa: -0.0101, kb_relative_information_score: 26.7692, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.6774, kappa: 0.6951, kb_relative_information_score: 1032.6556, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7115, predictive_accuracy: 0.6981, prior_entropy: 6.6439, recall: 0.6981, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3601, kappa: -0.0063, kb_relative_information_score: 25.1296, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0038, prior_entropy: 6.6439, recall: 0.0038, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3368, kappa: -0.0025, kb_relative_information_score: 18.0177, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8335, kappa: 0.8302, kb_relative_information_score: 988.2396, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8408, predictive_accuracy: 0.8319, prior_entropy: 6.6439, recall: 0.8319, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, kappa: 0.0025, kb_relative_information_score: 21.9762, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, kappa: 0.0038, kb_relative_information_score: 54.6701, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, kappa: 0.6244, kb_relative_information_score: 894.0451, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6281, prior_entropy: 6.6439, recall: 0.6281, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, kappa: 0.1376, kb_relative_information_score: 430.2608, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1463, prior_entropy: 6.6439, recall: 0.1463, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, kappa: 0.3194, kb_relative_information_score: 734.3356, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3263, prior_entropy: 6.6439, recall: 0.3263, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.7861, kappa: 0.7942, kb_relative_information_score: 1104.9537, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7965, predictive_accuracy: 0.7963, prior_entropy: 6.6439, recall: 0.7963, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.7668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, kappa: 0.4628, kb_relative_information_score: 606.4477, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4681, prior_entropy: 6.6439, recall: 0.4681, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8359, kappa: 0.8327, kb_relative_information_score: 989.263, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8435, predictive_accuracy: 0.8344, prior_entropy: 6.6439, recall: 0.8344, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8376, kappa: 0.834, kb_relative_information_score: 989.7717, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8458, predictive_accuracy: 0.8356, prior_entropy: 6.6439, recall: 0.8356, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.4678, kappa: 0.4646, kb_relative_information_score: 750.1493, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4805, predictive_accuracy: 0.47, prior_entropy: 6.6439, recall: 0.47, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.103, root_relative_squared_error: 1.0347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, kappa: 0.6061, kb_relative_information_score: 680.5959, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.61, prior_entropy: 6.6439, recall: 0.61, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.093, root_relative_squared_error: 0.9349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.7255, kappa: 0.738, kb_relative_information_score: 1106.2772, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7404, predictive_accuracy: 0.7406, prior_entropy: 6.6439, recall: 0.7406, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8053, kappa: 0.8005, kb_relative_information_score: 967.0319, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8159, predictive_accuracy: 0.8025, prior_entropy: 6.6439, recall: 0.8025, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7195, kappa: 0.7374, kb_relative_information_score: 900.8093, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7555, predictive_accuracy: 0.74, prior_entropy: 6.6439, recall: 0.74, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.8815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.6401, kappa: 0.6515, kb_relative_information_score: 1125.3118, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6478, predictive_accuracy: 0.655, prior_entropy: 6.6439, recall: 0.655, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8219, kappa: 0.8182, kb_relative_information_score: 983.5892, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8309, predictive_accuracy: 0.82, prior_entropy: 6.6439, recall: 0.82, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kappa: 0.0202, kb_relative_information_score: 49.4008, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.03, prior_entropy: 6.6439, recall: 0.03, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.821, kappa: 0.8176, kb_relative_information_score: 984.8115, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8315, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7642, kappa: 0.7664, kb_relative_information_score: 1197.6927, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7738, predictive_accuracy: 0.7688, prior_entropy: 6.6439, recall: 0.7688, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.7996, kappa: 0.8024, kb_relative_information_score: 1159.6131, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8089, predictive_accuracy: 0.8044, prior_entropy: 6.6439, recall: 0.8044, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.8405, kappa: 0.8378, kb_relative_information_score: 977.3872, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.846, predictive_accuracy: 0.8394, prior_entropy: 6.6439, recall: 0.8394, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.8372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4601, kappa: -0.0088, kb_relative_information_score: 58.6208, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0013, prior_entropy: 6.6439, recall: 0.0013, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.7102, kappa: 0.7178, kb_relative_information_score: 0.2353, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7271, predictive_accuracy: 0.7206, prior_entropy: 6.6439, recall: 0.7206, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.7781, kappa: 0.7746, kb_relative_information_score: 969.191, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7867, predictive_accuracy: 0.7769, prior_entropy: 6.6439, recall: 0.7769, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.754, kappa: 0.762, kb_relative_information_score: 1101.3198, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7724, predictive_accuracy: 0.7644, prior_entropy: 6.6439, recall: 0.7644, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.7702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3559, kappa: -0.0063, kb_relative_information_score: 4.0507, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0038, prior_entropy: 6.6439, recall: 0.0038, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.6471, kappa: 0.6275, kb_relative_information_score: 981.2039, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7119, predictive_accuracy: 0.6313, prior_entropy: 6.6439, recall: 0.6313, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7834, kappa: 0.7904, kb_relative_information_score: 1116.1623, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.796, predictive_accuracy: 0.7925, prior_entropy: 6.6439, recall: 0.7925, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8349, kappa: 0.8308, kb_relative_information_score: 988.201, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8424, predictive_accuracy: 0.8325, prior_entropy: 6.6439, recall: 0.8325, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.8296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.569, kappa: 0.584, kb_relative_information_score: 0.1422, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6012, predictive_accuracy: 0.5881, prior_entropy: 6.6439, recall: 0.5881, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, kappa: 0.0518, kb_relative_information_score: 0.029, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0613, prior_entropy: 6.6439, recall: 0.0613, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.7179, kappa: 0.7197, kb_relative_information_score: 0.1209, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7367, predictive_accuracy: 0.7225, prior_entropy: 6.6439, recall: 0.7225, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.7799, kappa: 0.7891, kb_relative_information_score: 1093.0757, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.791, predictive_accuracy: 0.7913, prior_entropy: 6.6439, recall: 0.7913, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, kappa: 0.2999, kb_relative_information_score: 453.3723, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3069, prior_entropy: 6.6439, recall: 0.3069, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.9654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3953, kappa: -0.0088, kb_relative_information_score: 32.4764, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0013, prior_entropy: 6.6439, recall: 0.0013, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.5589, kappa: 0.5568, kb_relative_information_score: 708.0363, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6173, predictive_accuracy: 0.5613, prior_entropy: 6.6439, recall: 0.5613, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.7485, kappa: 0.7481, kb_relative_information_score: 921.6394, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7666, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.816, kappa: 0.822, kb_relative_information_score: 1142.1422, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8251, predictive_accuracy: 0.8238, prior_entropy: 6.6439, recall: 0.8238, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.7658, kappa: 0.7626, kb_relative_information_score: 924.1999, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7782, predictive_accuracy: 0.765, prior_entropy: 6.6439, recall: 0.765, relative_absolute_error: 0.8471, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.5871, kappa: 0.5909, kb_relative_information_score: 1121.5489, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6014, predictive_accuracy: 0.595, prior_entropy: 6.6439, recall: 0.595, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.7505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8332, kappa: 0.8302, kb_relative_information_score: 991.2972, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.84, predictive_accuracy: 0.8319, prior_entropy: 6.6439, recall: 0.8319, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.7508, kappa: 0.7532, kb_relative_information_score: 0.373, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7571, predictive_accuracy: 0.7556, prior_entropy: 6.6439, recall: 0.7556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.6243, kappa: 0.6187, kb_relative_information_score: 772.7479, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6711, predictive_accuracy: 0.6225, prior_entropy: 6.6439, recall: 0.6225, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, kappa: 0.6338, kb_relative_information_score: 906.615, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6375, prior_entropy: 6.6439, recall: 0.6375, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3514, kappa: -0.0019, kb_relative_information_score: 27.2003, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0081, prior_entropy: 6.6439, recall: 0.0081, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, kappa: 0.3125, kb_relative_information_score: 0.0742, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3194, prior_entropy: 6.6439, recall: 0.3194, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.5029, kappa: 0.5215, kb_relative_information_score: 1033.55, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5154, predictive_accuracy: 0.5263, prior_entropy: 6.6439, recall: 0.5263, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.8129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7764, kappa: 0.7734, kb_relative_information_score: 955.3467, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7846, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.8478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.82, kappa: 0.8163, kb_relative_information_score: 985.9387, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8276, predictive_accuracy: 0.8181, prior_entropy: 6.6439, recall: 0.8181, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.082, root_relative_squared_error: 0.8243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, kappa: 0.0025, kb_relative_information_score: 76.6715, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7837, kappa: 0.7917, kb_relative_information_score: 1137.2262, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7955, predictive_accuracy: 0.7938, prior_entropy: 6.6439, recall: 0.7938, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, kappa: 0.5827, kb_relative_information_score: 753.5696, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5869, prior_entropy: 6.6439, recall: 0.5869, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, kappa: 0.6408, kb_relative_information_score: 890.3807, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6444, prior_entropy: 6.6439, recall: 0.6444, relative_absolute_error: 0.864, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8345, kappa: 0.8308, kb_relative_information_score: 993.0256, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8424, predictive_accuracy: 0.8325, prior_entropy: 6.6439, recall: 0.8325, relative_absolute_error: 0.8097, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, kappa: 0.0025, kb_relative_information_score: 39.553, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7309, kappa: 0.7462, kb_relative_information_score: 986.5953, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7574, predictive_accuracy: 0.7488, prior_entropy: 6.6439, recall: 0.7488, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7967, kappa: 0.7942, kb_relative_information_score: 969.0267, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8081, predictive_accuracy: 0.7963, prior_entropy: 6.6439, recall: 0.7963, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8235, kappa: 0.8201, kb_relative_information_score: 981.2633, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8314, predictive_accuracy: 0.8219, prior_entropy: 6.6439, recall: 0.8219, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3219, kappa: -0.0101, kb_relative_information_score: 11.6033, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.485, kappa: 0.0025, kb_relative_information_score: 12.5182, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.7293, kappa: 0.7317, kb_relative_information_score: 0.1242, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7499, predictive_accuracy: 0.7344, prior_entropy: 6.6439, recall: 0.7344, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4379, kappa: 0.041, kb_relative_information_score: 33.0263, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0506, prior_entropy: 6.6439, recall: 0.0506, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4637, kappa: 0.0025, kb_relative_information_score: 35.5067, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.6765, kappa: 0.6799, kb_relative_information_score: 1144.7843, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.681, predictive_accuracy: 0.6831, prior_entropy: 6.6439, recall: 0.6831, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.6896, kappa: 0.6982, kb_relative_information_score: 1120.8726, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6961, predictive_accuracy: 0.7013, prior_entropy: 6.6439, recall: 0.7013, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.7568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, kappa: 0.4274, kb_relative_information_score: 593.6628, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4331, prior_entropy: 6.6439, recall: 0.4331, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.094, root_relative_squared_error: 0.9445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3942, kappa: -0.0076, kb_relative_information_score: 61.3636, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.6601, kappa: 0.6667, kb_relative_information_score: 1142.7076, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6767, predictive_accuracy: 0.67, prior_entropy: 6.6439, recall: 0.67, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8187, kappa: 0.8144, kb_relative_information_score: 985.8995, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8263, predictive_accuracy: 0.8163, prior_entropy: 6.6439, recall: 0.8163, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8386, kappa: 0.8352, kb_relative_information_score: 991.2474, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.846, predictive_accuracy: 0.8369, prior_entropy: 6.6439, recall: 0.8369, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.4711, kappa: 0.4672, kb_relative_information_score: 754.1581, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4802, predictive_accuracy: 0.4725, prior_entropy: 6.6439, recall: 0.4725, relative_absolute_error: 0.5328, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1027, root_relative_squared_error: 1.0323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.6877, kappa: 0.6982, kb_relative_information_score: 880.0703, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7092, predictive_accuracy: 0.7013, prior_entropy: 6.6439, recall: 0.7013, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.8791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7187, kappa: 0.7052, kb_relative_information_score: 1226.4566, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7677, predictive_accuracy: 0.7081, prior_entropy: 6.6439, recall: 0.7081, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.6683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3386, kappa: -0.0101, kb_relative_information_score: 10.9164, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, kappa: 0.2449, kb_relative_information_score: 145.5479, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2525, prior_entropy: 6.6439, recall: 0.2525, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, kappa: 0.0095, kb_relative_information_score: 12.6504, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0194, prior_entropy: 6.6439, recall: 0.0194, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, kappa: 0.6225, kb_relative_information_score: 1043.0889, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6263, prior_entropy: 6.6439, recall: 0.6263, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3995, kappa: -0.0006, kb_relative_information_score: 37.7893, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0094, prior_entropy: 6.6439, recall: 0.0094, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, kappa: 0.7544, kb_relative_information_score: 925.5, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.7569, prior_entropy: 6.6439, recall: 0.7569, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.6765, kappa: 0.6799, kb_relative_information_score: 1144.7843, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.681, predictive_accuracy: 0.6831, prior_entropy: 6.6439, recall: 0.6831, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, kappa: 0.4495, kb_relative_information_score: 715.3472, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.455, prior_entropy: 6.6439, recall: 0.455, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.804, kappa: 0.8074, kb_relative_information_score: 1203.8572, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.812, predictive_accuracy: 0.8094, prior_entropy: 6.6439, recall: 0.8094, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.6893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7899, kappa: 0.7955, kb_relative_information_score: 1157.0965, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7995, predictive_accuracy: 0.7975, prior_entropy: 6.6439, recall: 0.7975, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.7273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.4923, kappa: 0.5246, kb_relative_information_score: 1017.282, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5364, predictive_accuracy: 0.5294, prior_entropy: 6.6439, recall: 0.5294, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4672, kappa: -0.0044, kb_relative_information_score: 22.9552, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, kappa: 0.7273, kb_relative_information_score: 1000.8655, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.73, prior_entropy: 6.6439, recall: 0.73, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.8266, kappa: 0.8232, kb_relative_information_score: 990.7019, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8351, predictive_accuracy: 0.825, prior_entropy: 6.6439, recall: 0.825, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8415, kappa: 0.8384, kb_relative_information_score: 953.0408, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8463, predictive_accuracy: 0.84, prior_entropy: 6.6439, recall: 0.84, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.8471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7923, kappa: 0.7677, kb_relative_information_score: 958.2882, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8303, predictive_accuracy: 0.77, prior_entropy: 6.6439, recall: 0.77, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.8088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4013, kappa: -0.0101, kb_relative_information_score: 22.1283, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,

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