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OpenML
OpenML
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 29 Supervised Classification credit-approval 21238 runs submitted
0 likes downloaded by 3 people , 12 total downloads 0 issues
Visibility: Public
  • at2 basic ComplexWorkflows mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_70 study_73 study_98 study_99 under100k under1m
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21238 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.861, kappa: 0.7189, kb_relative_information_score: 403.3437, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8612, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6515, scimark_benchmark: 943.2732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8466, kappa: 0.69, kb_relative_information_score: 428.5433, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8472, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6509, scimark_benchmark: 946.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.849, kappa: 0.6939, kb_relative_information_score: 429.2995, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8491, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7123, scimark_benchmark: 943.7335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 398.7496, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6841, scimark_benchmark: 912.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8593, kappa: 0.7149, kb_relative_information_score: 424.5616, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4124, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6614, scimark_benchmark: 911.5514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8652, kappa: 0.727, kb_relative_information_score: 429.5201, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8652, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6592, scimark_benchmark: 947.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 946.5741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8539, kappa: 0.7051, kb_relative_information_score: 411.9967, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.855, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6729, scimark_benchmark: 948.2592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.858, kappa: 0.7126, kb_relative_information_score: 425.0196, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8555, kappa: 0.7107, kb_relative_information_score: 391.6874, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8629, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6912, scimark_benchmark: 946.8275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0411, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 943.5108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 921.6912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8522, kappa: 0.7009, kb_relative_information_score: 397.3773, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8523, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6687, scimark_benchmark: 927.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.851, kappa: 0.6992, kb_relative_information_score: 407.4707, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8521, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6546, scimark_benchmark: 877.0282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8415, kappa: 0.6784, kb_relative_information_score: 468.1223, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7998, scimark_benchmark: 947.3911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8569, kappa: 0.7122, kb_relative_information_score: 428, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8604, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6832, scimark_benchmark: 917.6034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7151, kappa: 0.4315, kb_relative_information_score: 311.408, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7549, predictive_accuracy: 0.7304, prior_entropy: 0.9913, recall: 0.7304, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0448, scimark_benchmark: 949.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.8482, kappa: 0.6942, kb_relative_information_score: 476.2633, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8505, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.785, scimark_benchmark: 945.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8639, kappa: 0.7245, kb_relative_information_score: 397.6545, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.864, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.324, root_relative_squared_error: 0.652, scimark_benchmark: 947.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.7702, kappa: 0.5369, kb_relative_information_score: 377.2851, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7951, predictive_accuracy: 0.7783, prior_entropy: 0.9913, recall: 0.7783, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8753, scimark_benchmark: 945.7977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8699, kappa: 0.738, kb_relative_information_score: 445.958, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8724, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6159, scimark_benchmark: 915.7777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.8445, kappa: 0.6847, kb_relative_information_score: 472.1928, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8448, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7924, scimark_benchmark: 945.7944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.9865, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6946, scimark_benchmark: 920.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8564, kappa: 0.709, kb_relative_information_score: 427.8576, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6723, scimark_benchmark: 916.0815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8598, kappa: 0.7191, kb_relative_information_score: 492.5454, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7545, scimark_benchmark: 944.6401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.854, kappa: 0.7085, kb_relative_information_score: 386.2812, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6948, scimark_benchmark: 920.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.7618, kappa: 0.5169, kb_relative_information_score: 356.1835, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7617, predictive_accuracy: 0.7623, prior_entropy: 0.9913, recall: 0.7623, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4875, root_relative_squared_error: 0.981, scimark_benchmark: 949.1292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8224, kappa: 0.6395, kb_relative_information_score: 441.5976, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8233, predictive_accuracy: 0.8232, prior_entropy: 0.9913, recall: 0.8232, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7807, scimark_benchmark: 944.6162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8579, kappa: 0.7121, kb_relative_information_score: 429.7379, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6841, scimark_benchmark: 925.0909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8636, kappa: 0.7235, kb_relative_information_score: 437.2639, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6657, scimark_benchmark: 920.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8653, kappa: 0.7276, kb_relative_information_score: 452.924, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8655, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6266, scimark_benchmark: 945.0614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.7182, kappa: 0.4376, kb_relative_information_score: 315.4785, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7585, predictive_accuracy: 0.7333, prior_entropy: 0.9913, recall: 0.7333, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0391, scimark_benchmark: 947.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.8569, kappa: 0.7118, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8595, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622, scimark_benchmark: 937.5026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8511, kappa: 0.6996, kb_relative_information_score: 413.5933, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8527, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6813, scimark_benchmark: 948.6816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8641, kappa: 0.7263, kb_relative_information_score: 426.3417, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8666, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.638, scimark_benchmark: 947.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8627, kappa: 0.7235, kb_relative_information_score: 426.8466, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6368, scimark_benchmark: 938.3435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, f_measure: 0.4813, kappa: 0.0746, kb_relative_information_score: 101.7771, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6241, predictive_accuracy: 0.5812, prior_entropy: 0.9913, recall: 0.5812, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6472, root_relative_squared_error: 1.3023,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8261, kappa: 0.6479, kb_relative_information_score: 373.3995, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8261, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7442, scimark_benchmark: 925.5183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8641, kappa: 0.7263, kb_relative_information_score: 426.1033, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8666, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6379, scimark_benchmark: 949.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8511, kappa: 0.6996, kb_relative_information_score: 413.5933, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8527, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6813, scimark_benchmark: 947.7969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8638, kappa: 0.7242, kb_relative_information_score: 420.2651, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8638, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.6726, scimark_benchmark: 877.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8525, kappa: 0.7024, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.854, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737, scimark_benchmark: 947.0481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8612, kappa: 0.7203, kb_relative_information_score: 426.8376, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8633, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6372, scimark_benchmark: 940.7987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5355, f_measure: 0.4822, kappa: 0.0774, kb_relative_information_score: 103.8123, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6309, predictive_accuracy: 0.5826, prior_entropy: 0.9913, recall: 0.5826, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6461, root_relative_squared_error: 1.3, scimark_benchmark: 912.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8493, kappa: 0.6948, kb_relative_information_score: 423.6685, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8493, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.713, scimark_benchmark: 922.4807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.855, kappa: 0.7064, kb_relative_information_score: 413.3305, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.855, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6748, scimark_benchmark: 917.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 920.5204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.7257, kappa: 0.4544, kb_relative_information_score: 327.69, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7745, predictive_accuracy: 0.742, prior_entropy: 0.9913, recall: 0.742, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.022, scimark_benchmark: 941.8118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422, scimark_benchmark: 950.4978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.6808, kappa: 0.3832, kb_relative_information_score: 286.9849, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7821, predictive_accuracy: 0.713, prior_entropy: 0.9913, recall: 0.713, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0779, scimark_benchmark: 947.8786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.8511, kappa: 0.7029, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8615, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7775, scimark_benchmark: 948.3077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.8569, kappa: 0.7124, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622, scimark_benchmark: 948.2576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.867, kappa: 0.7321, kb_relative_information_score: 425.341, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8695, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6373, scimark_benchmark: 926.7252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8525, kappa: 0.7059, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737, scimark_benchmark: 947.2677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8452, kappa: 0.6872, kb_relative_information_score: 440.5795, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8458, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6771, scimark_benchmark: 946.1441,

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