Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 2 Supervised Classification anneal 5745 runs submitted
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  • at2 basic d3m study_1 study_107 study_14 study_41 study_70 study_73 under100k
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5745 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9443, kappa: 0.8608, kb_relative_information_score: 700.0509, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.4617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.8147, kappa: 0.4913, kb_relative_information_score: 458.4842, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8517, predictive_accuracy: 0.8441, prior_entropy: 1.2149, recall: 0.8441, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.228, root_relative_squared_error: 0.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.7179, kappa: 0.275, kb_relative_information_score: 167.5083, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6732, predictive_accuracy: 0.7695, prior_entropy: 1.2149, recall: 0.7695, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7497, kappa: 0.3931, kb_relative_information_score: 275.0377, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7216, predictive_accuracy: 0.7829, prior_entropy: 1.2149, recall: 0.7829, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.8811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6381, f_measure: 0.7161, kappa: 0.2665, kb_relative_information_score: 202.2509, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6478, predictive_accuracy: 0.8018, prior_entropy: 1.2149, recall: 0.8018, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.9073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7697, kappa: 0.4039, kb_relative_information_score: 345.6975, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7852, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.21, root_relative_squared_error: 0.8131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8284, kappa: 0.5566, kb_relative_information_score: 504.0771, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8284, predictive_accuracy: 0.8463, prior_entropy: 1.2149, recall: 0.8463, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.8499, kappa: 0.6136, kb_relative_information_score: 553.7668, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8483, predictive_accuracy: 0.8586, prior_entropy: 1.2149, recall: 0.8586, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.171, root_relative_squared_error: 0.6621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8834, kappa: 0.7126, kb_relative_information_score: 616.9363, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8786, predictive_accuracy: 0.8886, prior_entropy: 1.2149, recall: 0.8886, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.153, root_relative_squared_error: 0.5926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8897, kappa: 0.7262, kb_relative_information_score: 613.8366, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8869, predictive_accuracy: 0.8931, prior_entropy: 1.2149, recall: 0.8931, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8847, kappa: 0.713, kb_relative_information_score: 618.3543, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8802, predictive_accuracy: 0.8909, prior_entropy: 1.2149, recall: 0.8909, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.6008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.95, kappa: 0.8756, kb_relative_information_score: 746.551, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9506, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.95, kappa: 0.8756, kb_relative_information_score: 746.551, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9506, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.95, kappa: 0.8756, kb_relative_information_score: 746.551, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9506, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.95, kappa: 0.8756, kb_relative_information_score: 746.551, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9506, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.95, kappa: 0.8756, kb_relative_information_score: 746.551, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9506, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.95, kappa: 0.8756, kb_relative_information_score: 746.551, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9506, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.4428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9488, kappa: 0.8721, kb_relative_information_score: 746.2939, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9492, predictive_accuracy: 0.9488, prior_entropy: 1.2149, recall: 0.9488, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.4382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9543, kappa: 0.8857, kb_relative_information_score: 741.0413, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9544, predictive_accuracy: 0.9543, prior_entropy: 1.2149, recall: 0.9543, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9542, kappa: 0.8857, kb_relative_information_score: 730.0817, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 1.2149, recall: 0.9543, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.4386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9486, kappa: 0.8715, kb_relative_information_score: 720.8911, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9486, predictive_accuracy: 0.9488, prior_entropy: 1.2149, recall: 0.9488, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9489, kappa: 0.8724, kb_relative_information_score: 707.0255, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9491, predictive_accuracy: 0.9488, prior_entropy: 1.2149, recall: 0.9488, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9443, kappa: 0.8608, kb_relative_information_score: 699.4785, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 1.2149, recall: 0.9443, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9487, kappa: 0.8715, kb_relative_information_score: 688.2448, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9486, predictive_accuracy: 0.9488, prior_entropy: 1.2149, recall: 0.9488, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.946, kappa: 0.8643, kb_relative_information_score: 675.7098, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.946, predictive_accuracy: 0.9465, prior_entropy: 1.2149, recall: 0.9465, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9017, kappa: 0.7621, kb_relative_information_score: 670.9219, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9086, predictive_accuracy: 0.8987, prior_entropy: 1.2149, recall: 0.8987, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.17, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.7694, kappa: 0.4458, kb_relative_information_score: -487.5246, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8072, predictive_accuracy: 0.8241, prior_entropy: 1.2149, recall: 0.8241, relative_absolute_error: 1.6852, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3169, root_relative_squared_error: 1.2271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9066, kappa: 0.7637, kb_relative_information_score: 653.0252, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9057, predictive_accuracy: 0.9087, prior_entropy: 1.2149, recall: 0.9087, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.8886, kappa: 0.7288, kb_relative_information_score: 639.1405, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8909, predictive_accuracy: 0.8909, prior_entropy: 1.2149, recall: 0.8909, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.191, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5147, f_measure: 0.6587, kb_relative_information_score: 0.4357, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9539, kappa: 0.8843, kb_relative_information_score: 667.7234, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.954, predictive_accuracy: 0.9543, prior_entropy: 1.2149, recall: 0.9543, relative_absolute_error: 0.3558, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.4713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9227, kappa: 0.8053, kb_relative_information_score: 699.8879, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9235, predictive_accuracy: 0.9232, prior_entropy: 1.2149, recall: 0.9232, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.5495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9333, kappa: 0.8342, kb_relative_information_score: 711.1454, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9347, predictive_accuracy: 0.9332, prior_entropy: 1.2149, recall: 0.9332, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.5313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.8147, kappa: 0.4913, kb_relative_information_score: 458.4842, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8517, predictive_accuracy: 0.8441, prior_entropy: 1.2149, recall: 0.8441, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.228, root_relative_squared_error: 0.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9161, kappa: 0.7946, kb_relative_information_score: 690.9403, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9194, predictive_accuracy: 0.9154, prior_entropy: 1.2149, recall: 0.9154, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.5494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9728, kappa: 0.932, kb_relative_information_score: 793.4596, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9732, predictive_accuracy: 0.9733, prior_entropy: 1.2149, recall: 0.9733, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.3337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 863.213, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9145, kappa: 0.7868, kb_relative_information_score: 660.5744, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9153, predictive_accuracy: 0.9176, prior_entropy: 1.2149, recall: 0.9176, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.5378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: -1.2439, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 415.1078, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.9046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7624, kappa: 0.4347, kb_relative_information_score: 221.2536, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.8253,
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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