Task
Supervised Classification on analcatdata_creditscore

Supervised Classification on analcatdata_creditscore

Task 3552 Supervised Classification analcatdata_creditscore 825 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.98, kappa: 0.9493, kb_relative_information_score: 92.563, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 94.8706, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.2307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.98, kappa: 0.9493, kb_relative_information_score: 94.8226, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 94.8577, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.98, kappa: 0.9493, kb_relative_information_score: 94.9426, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.2628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.7108, kappa: 0.2347, kb_relative_information_score: 14.238, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.7048, predictive_accuracy: 0.73, prior_entropy: 0.8479, recall: 0.73, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4569, root_relative_squared_error: 1.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 96.3605, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0274, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.2256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9497, kappa: 0.8717, kb_relative_information_score: 84.8318, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9496, predictive_accuracy: 0.95, prior_entropy: 0.8479, recall: 0.95, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9705, kappa: 0.9265, kb_relative_information_score: 72.2228, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.973, predictive_accuracy: 0.97, prior_entropy: 0.8479, recall: 0.97, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9705, kappa: 0.9265, kb_relative_information_score: 87.8994, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.973, predictive_accuracy: 0.97, prior_entropy: 0.8479, recall: 0.97, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8608, kappa: 0.6315, kb_relative_information_score: 55.1111, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.8721, predictive_accuracy: 0.87, prior_entropy: 0.8479, recall: 0.87, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.7199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9705, kappa: 0.9265, kb_relative_information_score: 87.7646, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.973, predictive_accuracy: 0.97, prior_entropy: 0.8479, recall: 0.97, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.6676, kappa: 0.1126, kb_relative_information_score: 20.8761, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.7076, predictive_accuracy: 0.74, prior_entropy: 0.8479, recall: 0.74, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.9461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.7451, kappa: 0.3155, kb_relative_information_score: 37.9423, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.8076, predictive_accuracy: 0.79, prior_entropy: 0.8479, recall: 0.79, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 95.1239, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0444, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.7849, kappa: 0.422, kb_relative_information_score: 46.576, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.8556, predictive_accuracy: 0.82, prior_entropy: 0.8479, recall: 0.82, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.292, root_relative_squared_error: 0.6576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4467, f_measure: 0.6161, kb_relative_information_score: -0.709, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.8479, recall: 0.73, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4445, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.6749, kappa: 0.1266, kb_relative_information_score: 18.3099, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.6723, predictive_accuracy: 0.72, prior_entropy: 0.8479, recall: 0.72, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.9654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9135, kappa: 0.7934, kb_relative_information_score: 72.4597, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9325, predictive_accuracy: 0.91, prior_entropy: 0.8479, recall: 0.91, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9041, kappa: 0.7728, kb_relative_information_score: 68.6705, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.927, predictive_accuracy: 0.9, prior_entropy: 0.8479, recall: 0.9, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9407, kappa: 0.8513, kb_relative_information_score: 79.3723, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9422, predictive_accuracy: 0.94, prior_entropy: 0.8479, recall: 0.94, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 94.8577, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9407, kappa: 0.8513, kb_relative_information_score: 81.9873, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9422, predictive_accuracy: 0.94, prior_entropy: 0.8479, recall: 0.94, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8471, kappa: 0.6057, kb_relative_information_score: 43.6597, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.8461, predictive_accuracy: 0.85, prior_entropy: 0.8479, recall: 0.85, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7059, kappa: 0.2116, kb_relative_information_score: 27.8639, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.7076, predictive_accuracy: 0.74, prior_entropy: 0.8479, recall: 0.74, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.1485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9604, kappa: 0.9008, kb_relative_information_score: 84.7746, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9618, predictive_accuracy: 0.96, prior_entropy: 0.8479, recall: 0.96, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 86.0085, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6071, f_measure: 0.7206, kappa: 0.2524, kb_relative_information_score: 30.6097, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.723, predictive_accuracy: 0.75, prior_entropy: 0.8479, recall: 0.75, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 75.8979, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 94.8577, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5954, f_measure: 0.7136, kappa: 0.2312, kb_relative_information_score: 30.6097, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.7216, predictive_accuracy: 0.75, prior_entropy: 0.8479, recall: 0.75, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9802, kappa: 0.9504, kb_relative_information_score: 93.7627, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9814, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9802, kappa: 0.9504, kb_relative_information_score: 93.7627, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9814, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 96.5084, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 96.5084, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9802, kappa: 0.9504, kb_relative_information_score: 93.7627, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9814, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9802, kappa: 0.9504, kb_relative_information_score: 93.7627, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9814, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 96.5084, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 96.5084, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9166, kappa: 0.7818, kb_relative_information_score: 66.4762, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9225, predictive_accuracy: 0.92, prior_entropy: 0.8479, recall: 0.92, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9705, kappa: 0.9265, kb_relative_information_score: 81.3365, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.973, predictive_accuracy: 0.97, prior_entropy: 0.8479, recall: 0.97, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.98, kappa: 0.9493, kb_relative_information_score: 93.7627, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9802, kappa: 0.9504, kb_relative_information_score: 93.7627, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9814, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3185, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 25.1181, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.8479, recall: 0.73, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.1704, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.9595, kappa: 0.8961, kb_relative_information_score: 88.2711, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 0.8479, recall: 0.96, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4505, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6161, kb_relative_information_score: 25.1181, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.5329, predictive_accuracy: 0.73, prior_entropy: 0.8479, recall: 0.73, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.1704, scimark_benchmark: 1374.1146, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.9595, kappa: 0.8961, kb_relative_information_score: 88.2711, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 0.8479, recall: 0.96, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4505, scimark_benchmark: 1336.565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9802, kappa: 0.9504, kb_relative_information_score: 93.7627, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9814, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3185, scimark_benchmark: 1386.3452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8813, kappa: 0.7025, kb_relative_information_score: 60.3989, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.8834, predictive_accuracy: 0.88, prior_entropy: 0.8479, recall: 0.88, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.7159, scimark_benchmark: 1918.4916, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8707, kappa: 0.674, kb_relative_information_score: 62.5095, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.8717, predictive_accuracy: 0.87, prior_entropy: 0.8479, recall: 0.87, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.672, scimark_benchmark: 1918.4916, usercpu_time_millis: 312.5, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9802, kappa: 0.9504, kb_relative_information_score: 93.7627, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9814, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3185, scimark_benchmark: 1427.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8448, kappa: 0.5959, kb_relative_information_score: 48.9332, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.845, predictive_accuracy: 0.85, prior_entropy: 0.8479, recall: 0.85, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.7503, scimark_benchmark: 1360.6915, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.98, kappa: 0.9493, kb_relative_information_score: 93.7627, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3185, usercpu_time_millis: 200.266, usercpu_time_millis_testing: 2.782, usercpu_time_millis_training: 197.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9604, kappa: 0.9008, kb_relative_information_score: 84.7746, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9618, predictive_accuracy: 0.96, prior_entropy: 0.8479, recall: 0.96, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4351, scimark_benchmark: 1314.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7059, kappa: 0.2116, kb_relative_information_score: 27.8639, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.7076, predictive_accuracy: 0.74, prior_entropy: 0.8479, recall: 0.74, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.1485, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.7429, kappa: 0.3122, kb_relative_information_score: 36.1013, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.7508, predictive_accuracy: 0.77, prior_entropy: 0.8479, recall: 0.77, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0802, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8327, kappa: 0.5833, kb_relative_information_score: 48.7639, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.837, predictive_accuracy: 0.83, prior_entropy: 0.8479, recall: 0.83, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.8094, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9503, kappa: 0.8746, kb_relative_information_score: 83.8459, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9508, predictive_accuracy: 0.95, prior_entropy: 0.8479, recall: 0.95, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4702, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.7289, kappa: 0.2908, kb_relative_information_score: 26.9713, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.7236, predictive_accuracy: 0.74, prior_entropy: 0.8479, recall: 0.74, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.1362, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9698, kappa: 0.923, kb_relative_information_score: 91.0169, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9699, predictive_accuracy: 0.97, prior_entropy: 0.8479, recall: 0.97, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3901, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 94.8577, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2294, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 94.8577, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2294, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 86.976, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3056, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.98, kappa: 0.9493, kb_relative_information_score: 94.9426, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.2628, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 94.8577, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2294, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9604, kappa: 0.9008, kb_relative_information_score: 84.7746, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9618, predictive_accuracy: 0.96, prior_entropy: 0.8479, recall: 0.96, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4351, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7059, kappa: 0.2116, kb_relative_information_score: 27.8639, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.7076, predictive_accuracy: 0.74, prior_entropy: 0.8479, recall: 0.74, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.1485, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.7429, kappa: 0.3122, kb_relative_information_score: 36.1013, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.7508, predictive_accuracy: 0.77, prior_entropy: 0.8479, recall: 0.77, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0802, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8327, kappa: 0.5833, kb_relative_information_score: 48.7639, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.837, predictive_accuracy: 0.83, prior_entropy: 0.8479, recall: 0.83, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.8094, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,

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