Task
Supervised Classification on machine_cpu

Supervised Classification on machine_cpu

Task 4304 Supervised Classification machine_cpu 204 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9355, kappa: 0.8349, kb_relative_information_score: 1561.0816, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9354, predictive_accuracy: 0.9359, prior_entropy: 0.8417, recall: 0.9359, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.5512, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9405, kappa: 0.8468, kb_relative_information_score: 1739.836, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9406, predictive_accuracy: 0.9411, prior_entropy: 0.8417, recall: 0.9411, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9357, kappa: 0.8343, kb_relative_information_score: 1589.8305, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9357, predictive_accuracy: 0.9364, prior_entropy: 0.8417, recall: 0.9364, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4793, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9344, kappa: 0.8315, kb_relative_information_score: 1642.4023, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9343, predictive_accuracy: 0.9349, prior_entropy: 0.8417, recall: 0.9349, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.5073, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.7126, kappa: 0.2274, kb_relative_information_score: 771.2866, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.8069, predictive_accuracy: 0.7746, prior_entropy: 0.8417, recall: 0.7746, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0719, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.7126, kappa: 0.2274, kb_relative_information_score: 771.2866, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.8069, predictive_accuracy: 0.7746, prior_entropy: 0.8417, recall: 0.7746, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0719, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9373, kappa: 0.8401, kb_relative_information_score: 1661.9043, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9373, predictive_accuracy: 0.9373, prior_entropy: 0.8417, recall: 0.9373, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4953, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9277, kappa: 0.8145, kb_relative_information_score: 1477.6488, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9275, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.5255, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9419, kappa: 0.8501, kb_relative_information_score: 1596.8147, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4686, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9356, kappa: 0.8351, kb_relative_information_score: 1585.3782, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9354, predictive_accuracy: 0.9359, prior_entropy: 0.8417, recall: 0.9359, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5411, scimark_benchmark: 927.2917, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.7126, kappa: 0.2274, kb_relative_information_score: 771.2866, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.8069, predictive_accuracy: 0.7746, prior_entropy: 0.8417, recall: 0.7746, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0719, scimark_benchmark: 938.5498, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.7126, kappa: 0.2274, kb_relative_information_score: 771.2866, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.8069, predictive_accuracy: 0.7746, prior_entropy: 0.8417, recall: 0.7746, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0719, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9373, kappa: 0.8401, kb_relative_information_score: 1661.9043, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9373, predictive_accuracy: 0.9373, prior_entropy: 0.8417, recall: 0.9373, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4953, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9427, kappa: 0.8531, kb_relative_information_score: 1626.8015, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9426, predictive_accuracy: 0.9431, prior_entropy: 0.8417, recall: 0.9431, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4785, scimark_benchmark: 937.5117, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9255, kappa: 0.8104, kb_relative_information_score: 1637.9186, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9256, predictive_accuracy: 0.9254, prior_entropy: 0.8417, recall: 0.9254, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4792, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9355, kappa: 0.8349, kb_relative_information_score: 1561.0816, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9354, predictive_accuracy: 0.9359, prior_entropy: 0.8417, recall: 0.9359, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.5512, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9357, kappa: 0.8343, kb_relative_information_score: 1589.8305, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9357, predictive_accuracy: 0.9364, prior_entropy: 0.8417, recall: 0.9364, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4793, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9344, kappa: 0.8315, kb_relative_information_score: 1642.4023, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9343, predictive_accuracy: 0.9349, prior_entropy: 0.8417, recall: 0.9349, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.5073, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.7126, kappa: 0.2274, kb_relative_information_score: 771.2866, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.8069, predictive_accuracy: 0.7746, prior_entropy: 0.8417, recall: 0.7746, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0719, scimark_benchmark: 931.7096, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.7126, kappa: 0.2274, kb_relative_information_score: 771.2866, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.8069, predictive_accuracy: 0.7746, prior_entropy: 0.8417, recall: 0.7746, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0719, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9373, kappa: 0.8401, kb_relative_information_score: 1661.9043, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9373, predictive_accuracy: 0.9373, prior_entropy: 0.8417, recall: 0.9373, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4953, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9373, kappa: 0.8401, kb_relative_information_score: 1661.9043, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9373, predictive_accuracy: 0.9373, prior_entropy: 0.8417, recall: 0.9373, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4953, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9373, kappa: 0.8401, kb_relative_information_score: 1661.9043, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9373, predictive_accuracy: 0.9373, prior_entropy: 0.8417, recall: 0.9373, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4953, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9277, kappa: 0.8145, kb_relative_information_score: 1477.6488, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9275, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.5255, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9419, kappa: 0.8501, kb_relative_information_score: 1596.8147, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4686, scimark_benchmark: 1051.249, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9373, kappa: 0.8401, kb_relative_information_score: 1661.9043, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9373, predictive_accuracy: 0.9373, prior_entropy: 0.8417, recall: 0.9373, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4953, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9427, kappa: 0.8531, kb_relative_information_score: 1626.8015, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9426, predictive_accuracy: 0.9431, prior_entropy: 0.8417, recall: 0.9431, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4785, scimark_benchmark: 941.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9485, kappa: 0.8679, kb_relative_information_score: 1615.8651, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9484, predictive_accuracy: 0.9488, prior_entropy: 0.8417, recall: 0.9488, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.464, scimark_benchmark: 870.2101, usercpu_time_millis: 550, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.948, kappa: 0.8665, kb_relative_information_score: 1613.6038, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9479, predictive_accuracy: 0.9483, prior_entropy: 0.8417, recall: 0.9483, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4654, scimark_benchmark: 933.4823, usercpu_time_millis: 280, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9476, kappa: 0.8656, kb_relative_information_score: 1614.5617, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9475, predictive_accuracy: 0.9478, prior_entropy: 0.8417, recall: 0.9478, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4668, scimark_benchmark: 921.466, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9486, kappa: 0.8684, kb_relative_information_score: 1605.2825, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9485, predictive_accuracy: 0.9488, prior_entropy: 0.8417, recall: 0.9488, relative_absolute_error: 0.2398, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4725, scimark_benchmark: 938.8535, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9432, kappa: 0.8546, kb_relative_information_score: 1610.2142, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9431, predictive_accuracy: 0.9435, prior_entropy: 0.8417, recall: 0.9435, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4755, scimark_benchmark: 936.8729, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9255, kappa: 0.8104, kb_relative_information_score: 1637.9186, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9256, predictive_accuracy: 0.9254, prior_entropy: 0.8417, recall: 0.9254, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4792, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9255, kappa: 0.8104, kb_relative_information_score: 1637.9186, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9256, predictive_accuracy: 0.9254, prior_entropy: 0.8417, recall: 0.9254, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4792, scimark_benchmark: 930.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9255, kappa: 0.8104, kb_relative_information_score: 1637.9186, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9256, predictive_accuracy: 0.9254, prior_entropy: 0.8417, recall: 0.9254, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4792, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9255, kappa: 0.8104, kb_relative_information_score: 1637.9186, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9256, predictive_accuracy: 0.9254, prior_entropy: 0.8417, recall: 0.9254, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4792, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4718, f_measure: 0.6188, kb_relative_information_score: -6.5206, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.443, root_relative_squared_error: 1.0003, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9364, kappa: 0.837, kb_relative_information_score: 1716.9517, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9363, predictive_accuracy: 0.9368, prior_entropy: 0.8417, recall: 0.9368, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.5411, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9419, kappa: 0.8501, kb_relative_information_score: 1596.8147, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4686, scimark_benchmark: 1351.3088, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9356, kappa: 0.8351, kb_relative_information_score: 1585.3782, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9354, predictive_accuracy: 0.9359, prior_entropy: 0.8417, recall: 0.9359, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5411, scimark_benchmark: 1320.8283, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9427, kappa: 0.8531, kb_relative_information_score: 1626.8015, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9426, predictive_accuracy: 0.9431, prior_entropy: 0.8417, recall: 0.9431, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4785, scimark_benchmark: 1330.9181, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9355, kappa: 0.8349, kb_relative_information_score: 1561.0816, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9354, predictive_accuracy: 0.9359, prior_entropy: 0.8417, recall: 0.9359, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.5512, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9066, kappa: 0.7691, kb_relative_information_score: 1299.6335, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9135, predictive_accuracy: 0.9043, prior_entropy: 0.8417, recall: 0.9043, relative_absolute_error: 0.3898, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.6203, scimark_benchmark: 1330.8256, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 1651.0914, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.5139, scimark_benchmark: 1256.2802, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9344, kappa: 0.8315, kb_relative_information_score: 1642.4023, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9343, predictive_accuracy: 0.9349, prior_entropy: 0.8417, recall: 0.9349, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.5073, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9345, kappa: 0.8318, kb_relative_information_score: 1609.7864, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9343, predictive_accuracy: 0.9349, prior_entropy: 0.8417, recall: 0.9349, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.223, root_relative_squared_error: 0.5034, scimark_benchmark: 1317.7919, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9383, kappa: 0.8426, kb_relative_information_score: 1704.8506, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9382, predictive_accuracy: 0.9383, prior_entropy: 0.8417, recall: 0.9383, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5129, scimark_benchmark: 1345.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9373, kappa: 0.8401, kb_relative_information_score: 1661.9043, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9373, predictive_accuracy: 0.9373, prior_entropy: 0.8417, recall: 0.9373, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4953, scimark_benchmark: 1318.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9427, kappa: 0.8531, kb_relative_information_score: 1626.8015, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9426, predictive_accuracy: 0.9431, prior_entropy: 0.8417, recall: 0.9431, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4785, scimark_benchmark: 1331.2559, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.7126, kappa: 0.2274, kb_relative_information_score: 771.2866, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.8069, predictive_accuracy: 0.7746, prior_entropy: 0.8417, recall: 0.7746, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0719, scimark_benchmark: 1346.2761, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9373, kappa: 0.8401, kb_relative_information_score: 1661.9043, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.3933, number_of_instances: 2090, precision: 0.9373, predictive_accuracy: 0.9373, prior_entropy: 0.8417, recall: 0.9373, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4953, scimark_benchmark: 1347.993,

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