Task
Supervised Classification on cylinder-bands

Supervised Classification on cylinder-bands

Task 14954 Supervised Classification cylinder-bands 6645 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8163, kappa: 0.6213, kb_relative_information_score: 229.8123, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8258, predictive_accuracy: 0.8204, prior_entropy: 0.9826, recall: 0.8204, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.7392, kappa: 0.4626, kb_relative_information_score: 165.331, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7488, predictive_accuracy: 0.7463, prior_entropy: 0.9826, recall: 0.7463, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7468, kappa: 0.4778, kb_relative_information_score: 178.3213, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7523, predictive_accuracy: 0.7519, prior_entropy: 0.9826, recall: 0.7519, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.7491, kappa: 0.4827, kb_relative_information_score: 179.4596, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7537, predictive_accuracy: 0.7537, prior_entropy: 0.9826, recall: 0.7537, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7397, kappa: 0.4642, kb_relative_information_score: 159.5928, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7529, predictive_accuracy: 0.7481, prior_entropy: 0.9826, recall: 0.7481, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.7911, kappa: 0.5693, kb_relative_information_score: 205.5819, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7957, predictive_accuracy: 0.7944, prior_entropy: 0.9826, recall: 0.7944, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.7814, kappa: 0.5494, kb_relative_information_score: 182.5951, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7922, predictive_accuracy: 0.787, prior_entropy: 0.9826, recall: 0.787, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7236, kappa: 0.4405, kb_relative_information_score: 110.1276, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.778, predictive_accuracy: 0.7444, prior_entropy: 0.9826, recall: 0.7444, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.69, kappa: 0.372, kb_relative_information_score: 218.9076, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7356, predictive_accuracy: 0.713, prior_entropy: 0.9826, recall: 0.713, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.4297, kappa: 0.0027, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.5453, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.768, kappa: 0.5216, kb_relative_information_score: 285.183, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7732, predictive_accuracy: 0.7722, prior_entropy: 0.9826, recall: 0.7722, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.71, kappa: 0.4047, kb_relative_information_score: 229.2631, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7282, predictive_accuracy: 0.7222, prior_entropy: 0.9826, recall: 0.7222, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.807, kappa: 0.6022, kb_relative_information_score: 326.6051, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8097, predictive_accuracy: 0.8093, prior_entropy: 0.9826, recall: 0.8093, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.8054, kappa: 0.5991, kb_relative_information_score: 324.534, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8074, predictive_accuracy: 0.8074, prior_entropy: 0.9826, recall: 0.8074, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.7078, kappa: 0.4031, kb_relative_information_score: 231.3343, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7374, predictive_accuracy: 0.7241, prior_entropy: 0.9826, recall: 0.7241, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.471, kappa: 0.0505, kb_relative_information_score: 86.3569, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6631, predictive_accuracy: 0.5944, prior_entropy: 0.9826, recall: 0.5944, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6368, root_relative_squared_error: 1.2894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.6584, kappa: 0.3251, kb_relative_information_score: 202.3388, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7527, predictive_accuracy: 0.6981, prior_entropy: 0.9826, recall: 0.6981, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.5669, kappa: 0.1668, kb_relative_information_score: 129.8501, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.671, predictive_accuracy: 0.6333, prior_entropy: 0.9826, recall: 0.6333, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6055, root_relative_squared_error: 1.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5154, f_measure: 0.4518, kappa: 0.0353, kb_relative_information_score: 82.2147, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7604, predictive_accuracy: 0.5907, prior_entropy: 0.9826, recall: 0.5907, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6397, root_relative_squared_error: 1.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, f_measure: 0.5014, kappa: 0.1, kb_relative_information_score: 109.1391, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7689, predictive_accuracy: 0.6148, prior_entropy: 0.9826, recall: 0.6148, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6206, root_relative_squared_error: 1.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.7607, kappa: 0.5066, kb_relative_information_score: 276.8986, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7651, predictive_accuracy: 0.7648, prior_entropy: 0.9826, recall: 0.7648, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.7878, kappa: 0.5626, kb_relative_information_score: 305.894, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7911, predictive_accuracy: 0.7907, prior_entropy: 0.9826, recall: 0.7907, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.6681, kappa: 0.324, kb_relative_information_score: 191.9833, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6979, predictive_accuracy: 0.6889, prior_entropy: 0.9826, recall: 0.6889, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5578, root_relative_squared_error: 1.1293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.8013, kappa: 0.5904, kb_relative_information_score: 320.3918, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8041, predictive_accuracy: 0.8037, prior_entropy: 0.9826, recall: 0.8037, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.768, kappa: 0.5216, kb_relative_information_score: 285.183, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7732, predictive_accuracy: 0.7722, prior_entropy: 0.9826, recall: 0.7722, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.7584, kappa: 0.5018, kb_relative_information_score: 274.8275, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7637, predictive_accuracy: 0.763, prior_entropy: 0.9826, recall: 0.763, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6266, f_measure: 0.6367, kappa: 0.2737, kb_relative_information_score: 173.3433, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6954, predictive_accuracy: 0.6722, prior_entropy: 0.9826, recall: 0.6722, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5725, root_relative_squared_error: 1.1591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.4459, kappa: 0.0229, kb_relative_information_score: 76.0014, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6533, predictive_accuracy: 0.5852, prior_entropy: 0.9826, recall: 0.5852, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6441, root_relative_squared_error: 1.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7078, kappa: 0.4003, kb_relative_information_score: 227.192, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7264, predictive_accuracy: 0.7204, prior_entropy: 0.9826, recall: 0.7204, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.0706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.752, kappa: 0.4887, kb_relative_information_score: 266.543, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7548, predictive_accuracy: 0.7556, prior_entropy: 0.9826, recall: 0.7556, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.4748, kappa: 0.0555, kb_relative_information_score: 88.428, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6693, predictive_accuracy: 0.5963, prior_entropy: 0.9826, recall: 0.5963, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6354, root_relative_squared_error: 1.2864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.4315, kappa: 0.0101, kb_relative_information_score: 71.8592, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7573, predictive_accuracy: 0.5815, prior_entropy: 0.9826, recall: 0.5815, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6469, root_relative_squared_error: 1.3098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.5063, kappa: 0.09, kb_relative_information_score: 100.8546, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6624, predictive_accuracy: 0.6074, prior_entropy: 0.9826, recall: 0.6074, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6266, root_relative_squared_error: 1.2686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.5276, kappa: 0.1168, kb_relative_information_score: 111.2102, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6689, predictive_accuracy: 0.6167, prior_entropy: 0.9826, recall: 0.6167, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6191, root_relative_squared_error: 1.2535,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7951, kappa: 0.5776, kb_relative_information_score: 314.1785, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7992, predictive_accuracy: 0.7981, prior_entropy: 0.9826, recall: 0.7981, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9096,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.5029, kappa: 0.0851, kb_relative_information_score: 98.7835, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6583, predictive_accuracy: 0.6056, prior_entropy: 0.9826, recall: 0.6056, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.628, root_relative_squared_error: 1.2716,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.4315, kappa: 0.0101, kb_relative_information_score: 71.8592, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7573, predictive_accuracy: 0.5815, prior_entropy: 0.9826, recall: 0.5815, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6469, root_relative_squared_error: 1.3098,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7798, kappa: 0.546, kb_relative_information_score: 297.6096, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7841, predictive_accuracy: 0.7833, prior_entropy: 0.9826, recall: 0.7833, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9424,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.7613, kappa: 0.5078, kb_relative_information_score: 276.8986, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7645, predictive_accuracy: 0.7648, prior_entropy: 0.9826, recall: 0.7648, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9819,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.8031, kappa: 0.594, kb_relative_information_score: 322.4629, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8062, predictive_accuracy: 0.8056, prior_entropy: 0.9826, recall: 0.8056, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.5029, kappa: 0.0851, kb_relative_information_score: 98.7835, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6583, predictive_accuracy: 0.6056, prior_entropy: 0.9826, recall: 0.6056, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.628, root_relative_squared_error: 1.2716,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.5029, kappa: 0.0851, kb_relative_information_score: 98.7835, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6583, predictive_accuracy: 0.6056, prior_entropy: 0.9826, recall: 0.6056, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.628, root_relative_squared_error: 1.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7543, kappa: 0.4935, kb_relative_information_score: 268.6141, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7564, predictive_accuracy: 0.7574, prior_entropy: 0.9826, recall: 0.7574, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9972,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.4379, kappa: 0.0128, kb_relative_information_score: 71.8592, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.6169, predictive_accuracy: 0.5815, prior_entropy: 0.9826, recall: 0.5815, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6469, root_relative_squared_error: 1.3098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.6968, kappa: 0.3832, kb_relative_information_score: 223.0498, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7345, predictive_accuracy: 0.7167, prior_entropy: 0.9826, recall: 0.7167, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.0777,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.7618, kappa: 0.509, kb_relative_information_score: 276.8986, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.764, predictive_accuracy: 0.7648, prior_entropy: 0.9826, recall: 0.7648, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.4297, kappa: 0.0027, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.5453, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 67.717, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4879, number_of_instances: 540, predictive_accuracy: 0.5778, prior_entropy: 0.9826, recall: 0.5778, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6498, root_relative_squared_error: 1.3156,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs