Task
Supervised Classification on visualizing_slope

Supervised Classification on visualizing_slope

Task 4300 Supervised Classification visualizing_slope 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9246, kappa: 0.8403, kb_relative_information_score: 0.8386, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4753, weighted_recall: 0.925, number_of_instances: 440, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 0.9625, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.5614, scimark_benchmark: 979.7764, unweighted_recall: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8963, kappa: 0.7793, kb_relative_information_score: 0.6985, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4753, weighted_recall: 0.8977, number_of_instances: 440, precision: 0.8993, predictive_accuracy: 0.8977, prior_entropy: 0.9625, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5463, scimark_benchmark: 964.8373, unweighted_recall: 0.8807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6837, kappa: 0.3558, kb_relative_information_score: 115.5671, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.702, predictive_accuracy: 0.6795, prior_entropy: 0.9656, recall: 0.6795, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9303, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8907, kappa: 0.7689, kb_relative_information_score: 287.5312, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.8906, predictive_accuracy: 0.8909, prior_entropy: 0.9656, recall: 0.8909, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.617, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9013, kappa: 0.7905, kb_relative_information_score: 336.1222, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9027, predictive_accuracy: 0.9023, prior_entropy: 0.9656, recall: 0.9023, relative_absolute_error: 0.2362, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.6029, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4667, kb_relative_information_score: 74.1695, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9656, recall: 0.6136, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2765, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4667, kb_relative_information_score: 74.1695, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9656, recall: 0.6136, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2765, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8425, kappa: 0.6667, kb_relative_information_score: 219.9963, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.8423, predictive_accuracy: 0.8432, prior_entropy: 0.9656, recall: 0.8432, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6945, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9264, kappa: 0.8436, kb_relative_information_score: 277.881, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9289, predictive_accuracy: 0.9273, prior_entropy: 0.9656, recall: 0.9273, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5324, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7939, kappa: 0.5629, kb_relative_information_score: 224.2829, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7937, predictive_accuracy: 0.7955, prior_entropy: 0.9656, recall: 0.7955, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.781, scimark_benchmark: 927.2917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4667, kb_relative_information_score: 74.1695, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9656, recall: 0.6136, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2765, scimark_benchmark: 938.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4667, kb_relative_information_score: 74.1695, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9656, recall: 0.6136, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2765, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 164.5086, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8127, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8963, kappa: 0.7793, kb_relative_information_score: 306.3496, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.8993, predictive_accuracy: 0.8977, prior_entropy: 0.9656, recall: 0.8977, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5463, scimark_benchmark: 937.5117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.9182, kappa: 0.8275, kb_relative_information_score: 353.2467, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9182, predictive_accuracy: 0.9182, prior_entropy: 0.9656, recall: 0.9182, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.288, root_relative_squared_error: 0.5914, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6837, kappa: 0.3558, kb_relative_information_score: 115.5671, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.702, predictive_accuracy: 0.6795, prior_entropy: 0.9656, recall: 0.6795, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9303, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8907, kappa: 0.7689, kb_relative_information_score: 287.5312, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.8906, predictive_accuracy: 0.8909, prior_entropy: 0.9656, recall: 0.8909, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.617, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9013, kappa: 0.7905, kb_relative_information_score: 336.1222, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9027, predictive_accuracy: 0.9023, prior_entropy: 0.9656, recall: 0.9023, relative_absolute_error: 0.2362, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.6029, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4667, kb_relative_information_score: 74.1695, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9656, recall: 0.6136, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2765, scimark_benchmark: 931.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4667, kb_relative_information_score: 74.1695, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9656, recall: 0.6136, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2765, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 164.5086, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8127, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8425, kappa: 0.6667, kb_relative_information_score: 219.9963, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.8423, predictive_accuracy: 0.8432, prior_entropy: 0.9656, recall: 0.8432, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6945, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9264, kappa: 0.8436, kb_relative_information_score: 277.881, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9289, predictive_accuracy: 0.9273, prior_entropy: 0.9656, recall: 0.9273, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5324, scimark_benchmark: 1051.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7939, kappa: 0.5629, kb_relative_information_score: 224.2829, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7937, predictive_accuracy: 0.7955, prior_entropy: 0.9656, recall: 0.7955, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.781, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8963, kappa: 0.7793, kb_relative_information_score: 306.3496, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.8993, predictive_accuracy: 0.8977, prior_entropy: 0.9656, recall: 0.8977, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5463, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.909, kappa: 0.8079, kb_relative_information_score: 331.7216, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9089, predictive_accuracy: 0.9091, prior_entropy: 0.9656, recall: 0.9091, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4579, scimark_benchmark: 1051.249, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9113, kappa: 0.8129, kb_relative_information_score: 332.5153, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9113, predictive_accuracy: 0.9114, prior_entropy: 0.9656, recall: 0.9114, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.455, scimark_benchmark: 933.4823, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9114, kappa: 0.8133, kb_relative_information_score: 330.6354, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9115, predictive_accuracy: 0.9114, prior_entropy: 0.9656, recall: 0.9114, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4672, scimark_benchmark: 929.7512, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9026, kappa: 0.7955, kb_relative_information_score: 326.4423, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9034, predictive_accuracy: 0.9023, prior_entropy: 0.9656, recall: 0.9023, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.4904, scimark_benchmark: 930.2337, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9227, kappa: 0.837, kb_relative_information_score: 331.5248, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9227, predictive_accuracy: 0.9227, prior_entropy: 0.9656, recall: 0.9227, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4691, scimark_benchmark: 920.5394, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.9159, kappa: 0.8225, kb_relative_information_score: 351.8535, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9158, predictive_accuracy: 0.9159, prior_entropy: 0.9656, recall: 0.9159, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.6039, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9159, kappa: 0.8225, kb_relative_information_score: 352.3702, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9158, predictive_accuracy: 0.9159, prior_entropy: 0.9656, recall: 0.9159, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.293, root_relative_squared_error: 0.6018, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9159, kappa: 0.8225, kb_relative_information_score: 352.2328, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9158, predictive_accuracy: 0.9159, prior_entropy: 0.9656, recall: 0.9159, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.6012, scimark_benchmark: 894.7131,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 164.5086, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8127, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 164.5086, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8127, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9264, kappa: 0.8436, kb_relative_information_score: 277.881, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9289, predictive_accuracy: 0.9273, prior_entropy: 0.9656, recall: 0.9273, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5324, scimark_benchmark: 1319.952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 166.2255, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8138, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7939, kappa: 0.5629, kb_relative_information_score: 224.2829, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7937, predictive_accuracy: 0.7955, prior_entropy: 0.9656, recall: 0.7955, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.781, scimark_benchmark: 1317.6232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8963, kappa: 0.7793, kb_relative_information_score: 306.3496, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.8993, predictive_accuracy: 0.8977, prior_entropy: 0.9656, recall: 0.8977, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5463, scimark_benchmark: 1330.9181, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8652, kappa: 0.7144, kb_relative_information_score: 305.0192, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.8652, predictive_accuracy: 0.8659, prior_entropy: 0.9656, recall: 0.8659, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7438, scimark_benchmark: 1322.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9036, kappa: 0.7951, kb_relative_information_score: 336.4517, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.9052, predictive_accuracy: 0.9045, prior_entropy: 0.9656, recall: 0.9045, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.293, root_relative_squared_error: 0.6017, scimark_benchmark: 1319.5773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.902, kappa: 0.7928, kb_relative_information_score: 278.8814, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.902, predictive_accuracy: 0.9023, prior_entropy: 0.9656, recall: 0.9023, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5885, scimark_benchmark: 1317.7919, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6868, kappa: 0.3381, kb_relative_information_score: 164.5086, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4753, number_of_instances: 440, precision: 0.7294, predictive_accuracy: 0.7159, prior_entropy: 0.9656, recall: 0.7159, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8127, scimark_benchmark: 1331.0047,

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