OpenML
Supervised Classification on analcatdata_challenger

Supervised Classification on analcatdata_challenger

Task 4581 Supervised Classification analcatdata_challenger 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.9018, kappa: -0.0056, kb_relative_information_score: -1116.4004, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8736, predictive_accuracy: 0.9319, prior_entropy: 0.3712, recall: 0.9319, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0633, scimark_benchmark: 1339.6197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 345.601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, scimark_benchmark: 1334.863, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -476.7088, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.9975, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.9033, kb_relative_information_score: -457.5528, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.247, root_relative_squared_error: 1.0002, scimark_benchmark: 1339.5666, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 345.601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, scimark_benchmark: 1311.7006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -476.7088, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.9975, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -476.7088, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.9975, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.9033, kb_relative_information_score: -457.5528, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.247, root_relative_squared_error: 1.0002, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, f_measure: 0.9033, kb_relative_information_score: -568.085, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2473, root_relative_squared_error: 1.0014, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.9033, kb_relative_information_score: -2209.4439, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.3828, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2748, root_relative_squared_error: 1.1127, scimark_benchmark: 1337.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 345.601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.9018, kappa: -0.0056, kb_relative_information_score: -1116.4004, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8736, predictive_accuracy: 0.9319, prior_entropy: 0.3712, recall: 0.9319, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0633, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: -9074.7105, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 3.9268, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.5, root_relative_squared_error: 2.0244, scimark_benchmark: 1352.2099, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.9033, kb_relative_information_score: -582.4128, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.9968, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.8629, kappa: 0.0082, kb_relative_information_score: -919.6779, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8791, predictive_accuracy: 0.8478, prior_entropy: 0.3712, recall: 0.8478, relative_absolute_error: 1.1951, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.3901, root_relative_squared_error: 1.5794, scimark_benchmark: 1339.8573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.9033, kb_relative_information_score: -2209.4439, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.3828, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2748, root_relative_squared_error: 1.1127, scimark_benchmark: 1293.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.9018, kappa: -0.0056, kb_relative_information_score: -1138.821, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8736, predictive_accuracy: 0.9319, prior_entropy: 0.3712, recall: 0.9319, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0632, scimark_benchmark: 1337.5749, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 944.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.9033, kb_relative_information_score: -457.5528, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.247, root_relative_squared_error: 1.0002, scimark_benchmark: 1339.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 942.2229, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 345.601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, scimark_benchmark: 1342.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 833.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.9018, kappa: -0.0056, kb_relative_information_score: -1116.4004, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8736, predictive_accuracy: 0.9319, prior_entropy: 0.3712, recall: 0.9319, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0633, scimark_benchmark: 1319.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.9033, kb_relative_information_score: 324.4213, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2529, root_relative_squared_error: 1.0241, scimark_benchmark: 1350.4702, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.9033, kb_relative_information_score: -845.2101, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2609, root_relative_squared_error: 1.0562, scimark_benchmark: 1331.5882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 1327.5791, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 883.2709, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 1331.2332, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 1348.7888, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, f_measure: 0.9018, kappa: -0.0056, kb_relative_information_score: -1097.3223, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8736, predictive_accuracy: 0.9319, prior_entropy: 0.3712, recall: 0.9319, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2603, root_relative_squared_error: 1.0541, scimark_benchmark: 1324.5988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.9033, kb_relative_information_score: -713.1396, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 1.0654, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.9905, scimark_benchmark: 943.1756,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.9033, kb_relative_information_score: -1076.4075, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2598, root_relative_squared_error: 1.0517, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.9033, kb_relative_information_score: -1177.4484, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2652, root_relative_squared_error: 1.0737, scimark_benchmark: 1336.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 345.601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 345.601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 345.601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, scimark_benchmark: 1287.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: -9074.7105, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 3.9268, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.5, root_relative_squared_error: 2.0244, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.8629, kappa: 0.0082, kb_relative_information_score: -919.6779, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8791, predictive_accuracy: 0.8478, prior_entropy: 0.3712, recall: 0.8478, relative_absolute_error: 1.1951, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.3901, root_relative_squared_error: 1.5794, scimark_benchmark: 912.5006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.9033, kb_relative_information_score: -457.6616, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.9813, scimark_benchmark: 923.988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.9033, kb_relative_information_score: -1196.4732, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.266, root_relative_squared_error: 1.077, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.9033, kb_relative_information_score: -1166.1927, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2653, root_relative_squared_error: 1.0742, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 1308.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, f_measure: 0.8704, kappa: 0.0128, kb_relative_information_score: -719.3421, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8797, predictive_accuracy: 0.8616, prior_entropy: 0.3712, recall: 0.8616, relative_absolute_error: 1.087, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.372, root_relative_squared_error: 1.5063, scimark_benchmark: 1359.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8036, kappa: -0.0272, kb_relative_information_score: -2364.2046, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8731, predictive_accuracy: 0.7486, prior_entropy: 0.3712, recall: 0.7486, relative_absolute_error: 1.9748, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.5014, root_relative_squared_error: 2.0303, scimark_benchmark: 1291.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.9033, kb_relative_information_score: 27.0509, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2471, root_relative_squared_error: 1.0005, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 345.601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.9022, kappa: -0.0042, kb_relative_information_score: 313.969, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1273, number_of_instances: 1380, precision: 0.8737, predictive_accuracy: 0.9326, prior_entropy: 0.3712, recall: 0.9326, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2596, root_relative_squared_error: 1.0511, scimark_benchmark: 1392.1129,

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