OpenML
Supervised Classification on analcatdata_vehicle

Supervised Classification on analcatdata_vehicle

Task 4405 Supervised Classification analcatdata_vehicle 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8377, kappa: 0.6705, kb_relative_information_score: 0.5395, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4925, weighted_recall: 0.8375, number_of_instances: 480, precision: 0.8379, predictive_accuracy: 0.8375, prior_entropy: 0.9887, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6773, scimark_benchmark: 931.1106, unweighted_recall: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8118, kappa: 0.6166, kb_relative_information_score: 0.6204, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4925, weighted_recall: 0.8125, number_of_instances: 480, precision: 0.8121, predictive_accuracy: 0.8125, prior_entropy: 0.9887, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7925, scimark_benchmark: 979.7764, unweighted_recall: 0.8063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.8506, kappa: 0.6994, kb_relative_information_score: 257.1567, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8561, predictive_accuracy: 0.85, prior_entropy: 0.9896, recall: 0.85, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7357, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.883, kappa: 0.7617, kb_relative_information_score: 293.5189, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8834, predictive_accuracy: 0.8833, prior_entropy: 0.9896, recall: 0.8833, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.592, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8708, kappa: 0.7376, kb_relative_information_score: 325.9073, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8708, predictive_accuracy: 0.8708, prior_entropy: 0.9896, recall: 0.8708, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6689, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.8547, kappa: 0.7083, kb_relative_information_score: 336.6248, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.862, predictive_accuracy: 0.8542, prior_entropy: 0.9896, recall: 0.8542, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7698, scimark_benchmark: 904.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.8547, kappa: 0.7083, kb_relative_information_score: 336.6248, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.862, predictive_accuracy: 0.8542, prior_entropy: 0.9896, recall: 0.8542, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7698, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 231.913, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6756, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8422, kappa: 0.682, kb_relative_information_score: 214.6112, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8464, predictive_accuracy: 0.8417, prior_entropy: 0.9896, recall: 0.8417, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7545, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8266, kappa: 0.647, kb_relative_information_score: 256.9854, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8267, predictive_accuracy: 0.8271, prior_entropy: 0.9896, recall: 0.8271, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6688, scimark_benchmark: 932.2692, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8375, kappa: 0.6698, kb_relative_information_score: 245.8084, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8375, predictive_accuracy: 0.8375, prior_entropy: 0.9896, recall: 0.8375, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6922, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.8547, kappa: 0.7083, kb_relative_information_score: 336.6248, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.862, predictive_accuracy: 0.8542, prior_entropy: 0.9896, recall: 0.8542, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7698, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.8547, kappa: 0.7083, kb_relative_information_score: 336.6248, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.862, predictive_accuracy: 0.8542, prior_entropy: 0.9896, recall: 0.8542, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7698, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8377, kappa: 0.6705, kb_relative_information_score: 258.7329, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8379, predictive_accuracy: 0.8375, prior_entropy: 0.9896, recall: 0.8375, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6773, scimark_benchmark: 937.5117, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.8506, kappa: 0.6994, kb_relative_information_score: 257.1567, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8561, predictive_accuracy: 0.85, prior_entropy: 0.9896, recall: 0.85, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7357, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.883, kappa: 0.7617, kb_relative_information_score: 293.5189, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8834, predictive_accuracy: 0.8833, prior_entropy: 0.9896, recall: 0.8833, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.592, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8708, kappa: 0.7376, kb_relative_information_score: 325.9073, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8708, predictive_accuracy: 0.8708, prior_entropy: 0.9896, recall: 0.8708, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6689, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.8547, kappa: 0.7083, kb_relative_information_score: 336.6248, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.862, predictive_accuracy: 0.8542, prior_entropy: 0.9896, recall: 0.8542, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7698, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.8547, kappa: 0.7083, kb_relative_information_score: 336.6248, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.862, predictive_accuracy: 0.8542, prior_entropy: 0.9896, recall: 0.8542, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7698, scimark_benchmark: 926.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 231.913, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6756, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 231.913, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6756, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 231.913, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6756, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8422, kappa: 0.682, kb_relative_information_score: 214.6112, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8464, predictive_accuracy: 0.8417, prior_entropy: 0.9896, recall: 0.8417, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7545, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8266, kappa: 0.647, kb_relative_information_score: 256.9854, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8267, predictive_accuracy: 0.8271, prior_entropy: 0.9896, recall: 0.8271, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6688, scimark_benchmark: 938.4601, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 231.913, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6756, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8375, kappa: 0.6698, kb_relative_information_score: 245.8084, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8375, predictive_accuracy: 0.8375, prior_entropy: 0.9896, recall: 0.8375, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6922, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8377, kappa: 0.6705, kb_relative_information_score: 258.7329, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8379, predictive_accuracy: 0.8375, prior_entropy: 0.9896, recall: 0.8375, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6773, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8393, kappa: 0.6729, kb_relative_information_score: 264.5748, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8393, predictive_accuracy: 0.8396, prior_entropy: 0.9896, recall: 0.8396, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6275, scimark_benchmark: 901.4991, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8432, kappa: 0.6807, kb_relative_information_score: 264.7038, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8436, predictive_accuracy: 0.8438, prior_entropy: 0.9896, recall: 0.8438, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.625, scimark_benchmark: 859.5223, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8328, kappa: 0.6596, kb_relative_information_score: 262.8108, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.833, predictive_accuracy: 0.8333, prior_entropy: 0.9896, recall: 0.8333, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6349, scimark_benchmark: 862.7006, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 272.0605, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6289, scimark_benchmark: 906.8974, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.839, kappa: 0.6722, kb_relative_information_score: 268.758, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8394, predictive_accuracy: 0.8396, prior_entropy: 0.9896, recall: 0.8396, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6503, scimark_benchmark: 862.7006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8178, kappa: 0.6288, kb_relative_information_score: 286.6408, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8186, predictive_accuracy: 0.8188, prior_entropy: 0.9896, recall: 0.8188, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8004, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8135, kappa: 0.6199, kb_relative_information_score: 285.6488, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8145, predictive_accuracy: 0.8146, prior_entropy: 0.9896, recall: 0.8146, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7941, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8075, kappa: 0.6077, kb_relative_information_score: 285.0934, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.808, predictive_accuracy: 0.8083, prior_entropy: 0.9896, recall: 0.8083, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7741, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8079, kappa: 0.6089, kb_relative_information_score: 289.2228, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8079, predictive_accuracy: 0.8083, prior_entropy: 0.9896, recall: 0.8083, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7253, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8168, kappa: 0.6279, kb_relative_information_score: 288.5925, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8169, predictive_accuracy: 0.8167, prior_entropy: 0.9896, recall: 0.8167, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.6991, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4409, f_measure: 0.405, kb_relative_information_score: -1.4812, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.3164, predictive_accuracy: 0.5625, prior_entropy: 0.9896, recall: 0.5625, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.002, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8145, kappa: 0.6231, kb_relative_information_score: 301.4052, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8145, predictive_accuracy: 0.8146, prior_entropy: 0.9896, recall: 0.8146, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8025, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 231.913, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6756, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 231.913, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6756, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8266, kappa: 0.647, kb_relative_information_score: 256.9854, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8267, predictive_accuracy: 0.8271, prior_entropy: 0.9896, recall: 0.8271, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6688, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 231.913, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6756, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8708, kappa: 0.7376, kb_relative_information_score: 325.9073, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8708, predictive_accuracy: 0.8708, prior_entropy: 0.9896, recall: 0.8708, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6689, scimark_benchmark: 1334.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8505, kappa: 0.6978, kb_relative_information_score: 232.2588, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8528, predictive_accuracy: 0.85, prior_entropy: 0.9896, recall: 0.85, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7068, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 231.913, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6756, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 231.913, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6756, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 231.913, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6756, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 231.913, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6756, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8375, kappa: 0.6698, kb_relative_information_score: 245.8084, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8375, predictive_accuracy: 0.8375, prior_entropy: 0.9896, recall: 0.8375, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6922, scimark_benchmark: 1315.9287, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8377, kappa: 0.6705, kb_relative_information_score: 258.7329, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8379, predictive_accuracy: 0.8375, prior_entropy: 0.9896, recall: 0.8375, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6773, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.8506, kappa: 0.6994, kb_relative_information_score: 257.1567, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8561, predictive_accuracy: 0.85, prior_entropy: 0.9896, recall: 0.85, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7357, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8161, kappa: 0.6255, kb_relative_information_score: 292.727, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8163, predictive_accuracy: 0.8167, prior_entropy: 0.9896, recall: 0.8167, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7563, scimark_benchmark: 1304.4677, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8708, kappa: 0.7376, kb_relative_information_score: 325.9073, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8708, predictive_accuracy: 0.8708, prior_entropy: 0.9896, recall: 0.8708, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6689, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8105, kappa: 0.615, kb_relative_information_score: 247.6012, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8105, predictive_accuracy: 0.8104, prior_entropy: 0.9896, recall: 0.8104, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7621, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 231.913, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6756, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.846, kappa: 0.6874, kb_relative_information_score: 231.913, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4925, number_of_instances: 480, precision: 0.8463, predictive_accuracy: 0.8458, prior_entropy: 0.9896, recall: 0.8458, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4961, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6756, scimark_benchmark: 1331.0047,

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