Task
Supervised Classification on hutsof99_logis

Supervised Classification on hutsof99_logis

Task 3669 Supervised Classification hutsof99_logis 538 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, build_cpu_time: 0.0508, build_memory: 890730043.2, f_measure: 0.6286, kappa: 0.2565, kb_relative_information_score: 17.9372, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6286, predictive_accuracy: 0.6286, prior_entropy: 0.9994, recall: 0.6286, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.2193, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, build_cpu_time: 0.047, build_memory: 144900620, f_measure: 0.6286, kappa: 0.2565, kb_relative_information_score: 17.9372, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6286, predictive_accuracy: 0.6286, prior_entropy: 0.9994, recall: 0.6286, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.2193, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, build_cpu_time: 0.0027, build_memory: 1198055116.8, f_measure: 0.6566, kappa: 0.316, kb_relative_information_score: 22.0272, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6603, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.0836, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, build_cpu_time: 0.0149, build_memory: 846295586.4, f_measure: 0.6852, kappa: 0.3699, kb_relative_information_score: 19.8216, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6858, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9107, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, build_cpu_time: 0.0124, build_memory: 142976477.6, f_measure: 0.6852, kappa: 0.3699, kb_relative_information_score: 19.8216, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6858, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9107, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, build_cpu_time: 0.005, build_memory: 3139042032, f_measure: 0.7424, kappa: 0.4845, kb_relative_information_score: 27.763, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7432, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9471, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, build_cpu_time: 0.0039, build_memory: 2033208956, f_measure: 0.7424, kappa: 0.4845, kb_relative_information_score: 27.763, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7432, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9471, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, build_cpu_time: 0.0031, build_memory: 449187596.8, f_measure: 0.7424, kappa: 0.4845, kb_relative_information_score: 27.763, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7432, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9471, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, build_cpu_time: 0.0026, build_memory: 1172629912, f_measure: 0.7424, kappa: 0.4845, kb_relative_information_score: 27.763, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7432, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9471, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, build_cpu_time: 0.0015, build_memory: 280112816, f_measure: 0.6852, kappa: 0.373, kb_relative_information_score: 24.8272, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6892, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0075, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, build_cpu_time: 0.0027, build_memory: 547483952, f_measure: 0.7424, kappa: 0.4845, kb_relative_information_score: 27.7428, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7432, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9473, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, build_cpu_time: 0.0088, build_memory: 290321627.2, f_measure: 0.6571, kappa: 0.3148, kb_relative_information_score: 22.951, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6582, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5572, root_relative_squared_error: 1.1149, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, build_cpu_time: 0.011, build_memory: 860256585.6, f_measure: 0.7143, kappa: 0.4281, kb_relative_information_score: 29.3372, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.0461, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, build_cpu_time: 0.0212, build_memory: 482601074.4, f_measure: 0.757, kappa: 0.5151, kb_relative_information_score: 34.4377, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7596, predictive_accuracy: 0.7571, prior_entropy: 0.9994, recall: 0.7571, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9898, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.7129, kappa: 0.4262, kb_relative_information_score: 30.8563, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7162, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.044, scimark_benchmark: 945.3151, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5147, f_measure: 0.3804, kappa: 0.0302, kb_relative_information_score: 3.9242, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.754, predictive_accuracy: 0.5286, prior_entropy: 0.9994, recall: 0.5286, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6866, root_relative_squared_error: 1.3738, scimark_benchmark: 941.8057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3731, kappa: 0.0017, kb_relative_information_score: 1.922, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.5076, predictive_accuracy: 0.5143, prior_entropy: 0.9994, recall: 0.5143, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6969, root_relative_squared_error: 1.3944, scimark_benchmark: 947.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.5187, kappa: 0.1535, kb_relative_information_score: 11.9332, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6644, predictive_accuracy: 0.5857, prior_entropy: 0.9994, recall: 0.5857, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6437, root_relative_squared_error: 1.2878, scimark_benchmark: 941.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.7143, kappa: 0.429, kb_relative_information_score: 16.2567, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7155, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9141, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 15.4307, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.8933, scimark_benchmark: 947.9494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.6144, kappa: 0.2286, kb_relative_information_score: 11.5599, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6147, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5515, root_relative_squared_error: 1.1035, scimark_benchmark: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.6691, kappa: 0.3396, kb_relative_information_score: 23.9465, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6737, predictive_accuracy: 0.6714, prior_entropy: 0.9994, recall: 0.6714, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.1469, scimark_benchmark: 945.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5147, f_measure: 0.3804, kappa: 0.0302, kb_relative_information_score: 3.9242, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.754, predictive_accuracy: 0.5286, prior_entropy: 0.9994, recall: 0.5286, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6866, root_relative_squared_error: 1.3738, scimark_benchmark: 948.1045, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.7001, kappa: 0.4, kb_relative_information_score: 26.8332, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7004, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.528, root_relative_squared_error: 1.0565, scimark_benchmark: 868.2731, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.7277, kappa: 0.4554, kb_relative_information_score: 30.948, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7296, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0486, scimark_benchmark: 929.566, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7284, kappa: 0.458, kb_relative_information_score: 21.114, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7309, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9109, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.6857, kappa: 0.3719, kb_relative_information_score: 19.7383, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6868, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9642, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7284, kappa: 0.458, kb_relative_information_score: 27.2323, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7309, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9104, scimark_benchmark: 943.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, build_cpu_time: 0.0599, build_memory: 972439744, f_measure: 0.7143, kappa: 0.4281, kb_relative_information_score: 26.1702, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9173, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.7424, kappa: 0.4845, kb_relative_information_score: 25.8183, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7432, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9162, scimark_benchmark: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.6571, kappa: 0.3137, kb_relative_information_score: 22.2748, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6571, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.1441, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3493, kb_relative_information_score: 1.922, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.2645, predictive_accuracy: 0.5143, prior_entropy: 0.9994, recall: 0.5143, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6969, root_relative_squared_error: 1.3944, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4314, f_measure: 0.3493, kb_relative_information_score: -0.212, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.2645, predictive_accuracy: 0.5143, prior_entropy: 0.9994, recall: 0.5143, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0022, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, build_cpu_time: 0.0154, build_memory: 101612974.4, f_measure: 0.6144, kappa: 0.2286, kb_relative_information_score: 15.1536, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6147, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6114, root_relative_squared_error: 1.2232, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, build_cpu_time: 0.0135, build_memory: 565876768, f_measure: 0.6144, kappa: 0.2286, kb_relative_information_score: 15.1536, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6147, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6114, root_relative_squared_error: 1.2232, scimark_benchmark: 942.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, build_cpu_time: 0.0126, build_memory: 234473233.6, f_measure: 0.6144, kappa: 0.2286, kb_relative_information_score: 15.1536, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6147, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6114, root_relative_squared_error: 1.2232, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, build_cpu_time: 0.0126, build_memory: 70004576, f_measure: 0.6144, kappa: 0.2286, kb_relative_information_score: 15.1536, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6147, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6114, root_relative_squared_error: 1.2232, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, build_cpu_time: 0.0284, build_memory: 65690008.8, f_measure: 0.6141, kappa: 0.2298, kb_relative_information_score: 16.0824, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6161, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6173, root_relative_squared_error: 1.2351, scimark_benchmark: 941.7327,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, build_cpu_time: 0.0378, build_memory: 1053323936.8, f_measure: 0.6712, kappa: 0.3418, kb_relative_information_score: 19.8307, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6713, predictive_accuracy: 0.6714, prior_entropy: 0.9994, recall: 0.6714, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9106, scimark_benchmark: 943.3684,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, build_cpu_time: 0.0366, build_memory: 827810940.8, f_measure: 0.6555, kappa: 0.3115, kb_relative_information_score: 25.3558, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6581, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9808, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, build_cpu_time: 0.0418, build_memory: 62213555.2, f_measure: 0.6566, kappa: 0.316, kb_relative_information_score: 23.3524, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6603, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9539, scimark_benchmark: 926.9748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, build_cpu_time: 0.0398, build_memory: 1653456908.8, f_measure: 0.6566, kappa: 0.316, kb_relative_information_score: 23.3524, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6603, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9539, scimark_benchmark: 933.5169,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, build_cpu_time: 0.0003, build_memory: 286543112, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 31.545, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8713, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, build_cpu_time: 0.0137, build_memory: 2661673492, f_measure: 0.6998, kappa: 0.401, kb_relative_information_score: 19.7271, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7022, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.911, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, build_cpu_time: 0.0038, build_memory: 1405758172, f_measure: 0.6857, kappa: 0.3719, kb_relative_information_score: 18.2446, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6868, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9496, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, build_cpu_time: 0.0061, build_memory: 1340723051.2, f_measure: 0.6426, kappa: 0.2869, kb_relative_information_score: 16.2327, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6448, predictive_accuracy: 0.6429, prior_entropy: 0.9994, recall: 0.6429, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9343, scimark_benchmark: 941.5201,

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