OpenML
Supervised Classification on ionosphere

Supervised Classification on ionosphere

Task 287 Supervised Classification ionosphere 366 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9475, kappa: 0.8821, kb_relative_information_score: 86.8594, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4367, scimark_benchmark: 1313.8988, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9136, kappa: 0.8084, kb_relative_information_score: 85.5393, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9146, predictive_accuracy: 0.913, prior_entropy: 0.9425, recall: 0.913, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.5984, scimark_benchmark: 1345.0202, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9647, kappa: 0.9204, kb_relative_information_score: 103.916, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.967, predictive_accuracy: 0.9652, prior_entropy: 0.9425, recall: 0.9652, relative_absolute_error: 0.0765, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3936, scimark_benchmark: 1322.7257, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9471, kappa: 0.8806, kb_relative_information_score: 97.3036, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.949, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.478, scimark_benchmark: 1340.5125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9471, kappa: 0.8806, kb_relative_information_score: 97.3036, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.949, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.478, scimark_benchmark: 1373.7859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9475, kappa: 0.8821, kb_relative_information_score: 86.8594, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4367, scimark_benchmark: 1397.3209, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9647, kappa: 0.9204, kb_relative_information_score: 103.916, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.967, predictive_accuracy: 0.9652, prior_entropy: 0.9425, recall: 0.9652, relative_absolute_error: 0.0765, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3936, scimark_benchmark: 1314.0283, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9125, kappa: 0.8036, kb_relative_information_score: 89.7774, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9125, predictive_accuracy: 0.913, prior_entropy: 0.9425, recall: 0.913, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.6238, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9475, kappa: 0.8821, kb_relative_information_score: 86.8594, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4367, scimark_benchmark: 1322.7257, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9294, kappa: 0.8408, kb_relative_information_score: 80.5858, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9311, predictive_accuracy: 0.9304, prior_entropy: 0.9425, recall: 0.9304, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5102, scimark_benchmark: 1371.9645, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9736, kappa: 0.9407, kb_relative_information_score: 96.3375, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9749, predictive_accuracy: 0.9739, prior_entropy: 0.9425, recall: 0.9739, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3486, scimark_benchmark: 1320.9387, usercpu_time_millis: 1970, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9647, kappa: 0.9204, kb_relative_information_score: 103.916, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.967, predictive_accuracy: 0.9652, prior_entropy: 0.9425, recall: 0.9652, relative_absolute_error: 0.0765, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3936, scimark_benchmark: 935.5075, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9125, kappa: 0.8036, kb_relative_information_score: 89.7774, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9125, predictive_accuracy: 0.913, prior_entropy: 0.9425, recall: 0.913, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.6238, scimark_benchmark: 935.5075, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9471, kappa: 0.8806, kb_relative_information_score: 97.3036, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.949, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.478, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9471, kappa: 0.8806, kb_relative_information_score: 97.3036, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.949, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.478, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9471, kappa: 0.8806, kb_relative_information_score: 97.3036, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.949, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.478, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9466, kappa: 0.8791, kb_relative_information_score: 82.8469, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9516, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4951, scimark_benchmark: 918.0213, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9224, kappa: 0.8286, kb_relative_information_score: 89.0323, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9244, predictive_accuracy: 0.9217, prior_entropy: 0.9425, recall: 0.9217, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5547, scimark_benchmark: 1328.1857, usercpu_time_millis: 1480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9136, kappa: 0.8084, kb_relative_information_score: 85.5393, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9146, predictive_accuracy: 0.913, prior_entropy: 0.9425, recall: 0.913, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.5984, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9125, kappa: 0.8036, kb_relative_information_score: 89.7774, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9125, predictive_accuracy: 0.913, prior_entropy: 0.9425, recall: 0.913, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.6238, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9471, kappa: 0.8806, kb_relative_information_score: 97.3036, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.949, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.478, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9471, kappa: 0.8806, kb_relative_information_score: 97.3036, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.949, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.478, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9385, kappa: 0.8616, kb_relative_information_score: 93.9614, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9393, predictive_accuracy: 0.9391, prior_entropy: 0.9425, recall: 0.9391, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4998, scimark_benchmark: 942.9708, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9471, kappa: 0.8806, kb_relative_information_score: 97.3036, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.949, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.478, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9471, kappa: 0.8806, kb_relative_information_score: 97.3036, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.949, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.478, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9125, kappa: 0.8036, kb_relative_information_score: 89.7774, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9125, predictive_accuracy: 0.913, prior_entropy: 0.9425, recall: 0.913, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.6238, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9466, kappa: 0.8791, kb_relative_information_score: 82.8469, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9516, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4951, scimark_benchmark: 1312.0581, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9136, kappa: 0.8084, kb_relative_information_score: 85.5393, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9146, predictive_accuracy: 0.913, prior_entropy: 0.9425, recall: 0.913, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.5984, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9294, kappa: 0.8408, kb_relative_information_score: 80.5858, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9311, predictive_accuracy: 0.9304, prior_entropy: 0.9425, recall: 0.9304, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5102, scimark_benchmark: 942.9708, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.9294, kappa: 0.8408, kb_relative_information_score: 89.9625, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9311, predictive_accuracy: 0.9304, prior_entropy: 0.9425, recall: 0.9304, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5459, scimark_benchmark: 1340.1351, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9294, kappa: 0.8408, kb_relative_information_score: 80.5858, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9311, predictive_accuracy: 0.9304, prior_entropy: 0.9425, recall: 0.9304, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5102, scimark_benchmark: 1320.9026, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.9026, kappa: 0.7797, kb_relative_information_score: 88.184, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9048, predictive_accuracy: 0.9043, prior_entropy: 0.9425, recall: 0.9043, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6527, scimark_benchmark: 1327.035, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9294, kappa: 0.8408, kb_relative_information_score: 80.5858, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9311, predictive_accuracy: 0.9304, prior_entropy: 0.9425, recall: 0.9304, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5102, scimark_benchmark: 1342.4239, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9215, kappa: 0.8243, kb_relative_information_score: 88.5676, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9214, predictive_accuracy: 0.9217, prior_entropy: 0.9425, recall: 0.9217, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4694, scimark_benchmark: 1086.8793, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8801, kappa: 0.7255, kb_relative_information_score: 84.5347, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9035, predictive_accuracy: 0.887, prior_entropy: 0.9425, recall: 0.887, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6772, scimark_benchmark: 1371.9645, usercpu_time_millis: 7420, usercpu_time_millis_testing: 7420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9471, kappa: 0.8806, kb_relative_information_score: 99.3485, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.949, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4357, scimark_benchmark: 854.5188, usercpu_time_millis: 300, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.9125, kappa: 0.8036, kb_relative_information_score: 89.6819, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9125, predictive_accuracy: 0.913, prior_entropy: 0.9425, recall: 0.913, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5912, scimark_benchmark: 1347.388, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9294, kappa: 0.8408, kb_relative_information_score: 80.5858, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9311, predictive_accuracy: 0.9304, prior_entropy: 0.9425, recall: 0.9304, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.5102, scimark_benchmark: 935.5075, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9561, kappa: 0.9012, kb_relative_information_score: 77.9533, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9571, predictive_accuracy: 0.9565, prior_entropy: 0.9425, recall: 0.9565, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.4891, scimark_benchmark: 1307.4861, usercpu_time_millis: 470, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9561, kappa: 0.9012, kb_relative_information_score: 78.6419, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9571, predictive_accuracy: 0.9565, prior_entropy: 0.9425, recall: 0.9565, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.4845, scimark_benchmark: 880.8372, usercpu_time_millis: 430, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9385, kappa: 0.8616, kb_relative_information_score: 78.681, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9393, predictive_accuracy: 0.9391, prior_entropy: 0.9425, recall: 0.9391, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4911, scimark_benchmark: 932.0242, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9385, kappa: 0.8616, kb_relative_information_score: 80.1431, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9393, predictive_accuracy: 0.9391, prior_entropy: 0.9425, recall: 0.9391, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.4986, scimark_benchmark: 938.9967, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.93, kappa: 0.8428, kb_relative_information_score: 96.0969, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9301, predictive_accuracy: 0.9304, prior_entropy: 0.9425, recall: 0.9304, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.4919, scimark_benchmark: 930.5999, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9385, kappa: 0.8616, kb_relative_information_score: 95.4923, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9393, predictive_accuracy: 0.9391, prior_entropy: 0.9425, recall: 0.9391, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4678, scimark_benchmark: 1384.4418, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.938, kappa: 0.8598, kb_relative_information_score: 81.2164, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9411, predictive_accuracy: 0.9391, prior_entropy: 0.9425, recall: 0.9391, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.5092, scimark_benchmark: 1339.3974, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9046, kappa: 0.7879, kb_relative_information_score: 82.9589, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9051, predictive_accuracy: 0.9043, prior_entropy: 0.9425, recall: 0.9043, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6153, scimark_benchmark: 869.6028, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9289, kappa: 0.8388, kb_relative_information_score: 96.4857, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9333, predictive_accuracy: 0.9304, prior_entropy: 0.9425, recall: 0.9304, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4761, scimark_benchmark: 915.6729, usercpu_time_millis: 650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9557, kappa: 0.8999, kb_relative_information_score: 98.482, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9592, predictive_accuracy: 0.9565, prior_entropy: 0.9425, recall: 0.9565, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4191, scimark_benchmark: 1280.6952, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9557, kappa: 0.8999, kb_relative_information_score: 93.6073, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9592, predictive_accuracy: 0.9565, prior_entropy: 0.9425, recall: 0.9565, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4345, scimark_benchmark: 1442.7264, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9466, kappa: 0.8791, kb_relative_information_score: 86.4055, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9516, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.486, scimark_benchmark: 942.9518, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9188, kappa: 0.815, kb_relative_information_score: 76.2241, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.93, predictive_accuracy: 0.9217, prior_entropy: 0.9425, recall: 0.9217, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5621, scimark_benchmark: 933.3136, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8495, kappa: 0.6552, kb_relative_information_score: 77.155, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.8851, predictive_accuracy: 0.8609, prior_entropy: 0.9425, recall: 0.8609, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6536, scimark_benchmark: 916.6405, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8701, kappa: 0.7024, kb_relative_information_score: 80.1952, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.8972, predictive_accuracy: 0.8783, prior_entropy: 0.9425, recall: 0.8783, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.6272, scimark_benchmark: 939.5205, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.9008, kappa: 0.7739, kb_relative_information_score: 88.184, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9109, predictive_accuracy: 0.9043, prior_entropy: 0.9425, recall: 0.9043, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6527, scimark_benchmark: 1363.454, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.6644, kappa: 0.2543, kb_relative_information_score: 43.2355, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.8085, predictive_accuracy: 0.7304, prior_entropy: 0.9425, recall: 0.7304, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0957, scimark_benchmark: 912.5006, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8923, kappa: 0.755, kb_relative_information_score: 85.9366, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.8994, predictive_accuracy: 0.8957, prior_entropy: 0.9425, recall: 0.8957, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6817, scimark_benchmark: 1287.514, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.89, kappa: 0.7484, kb_relative_information_score: 48.6373, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9099, predictive_accuracy: 0.8957, prior_entropy: 0.9425, recall: 0.8957, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.7279, scimark_benchmark: 1363.434, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.9026, kappa: 0.7797, kb_relative_information_score: 88.184, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9048, predictive_accuracy: 0.9043, prior_entropy: 0.9425, recall: 0.9043, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6527, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9736, kappa: 0.9407, kb_relative_information_score: 96.3375, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9749, predictive_accuracy: 0.9739, prior_entropy: 0.9425, recall: 0.9739, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3486, scimark_benchmark: 1324.8395, usercpu_time_millis: 2710, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9125, kappa: 0.8036, kb_relative_information_score: 89.7774, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9125, predictive_accuracy: 0.913, prior_entropy: 0.9425, recall: 0.913, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.6238, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9224, kappa: 0.8286, kb_relative_information_score: 89.0323, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9244, predictive_accuracy: 0.9217, prior_entropy: 0.9425, recall: 0.9217, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5547, scimark_benchmark: 1072.3689, usercpu_time_millis: 1480, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9475, kappa: 0.8821, kb_relative_information_score: 86.8594, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9425, recall: 0.9478, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4367, scimark_benchmark: 1304.6687, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8609, kappa: 0.6896, kb_relative_information_score: 76.9469, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.8609, predictive_accuracy: 0.8609, prior_entropy: 0.9425, recall: 0.8609, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7872, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.9188, kappa: 0.815, kb_relative_information_score: 83.1171, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4549, number_of_instances: 115, precision: 0.93, predictive_accuracy: 0.9217, prior_entropy: 0.9425, recall: 0.9217, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4739, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.5586, scimark_benchmark: 1335.4072,

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