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OpenML
OpenML
Supervised Classification on kc1-binary

Supervised Classification on kc1-binary

Task 3916 Supervised Classification kc1-binary 553 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.729, kappa: 0.4387, kb_relative_information_score: 47.8253, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7288, predictive_accuracy: 0.731, prior_entropy: 0.979, recall: 0.731, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9277, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7633, kappa: 0.5095, kb_relative_information_score: 73.9873, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7639, predictive_accuracy: 0.7655, prior_entropy: 0.979, recall: 0.7655, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9832, scimark_benchmark: 930.5999, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, f_measure: 0.6386, kappa: 0.2635, kb_relative_information_score: 44.7822, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6771, predictive_accuracy: 0.669, prior_entropy: 0.979, recall: 0.669, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5754, root_relative_squared_error: 1.1682, scimark_benchmark: 1034.1273, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7598, kappa: 0.5085, kb_relative_information_score: 71.9012, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7628, predictive_accuracy: 0.7586, prior_entropy: 0.979, recall: 0.7586, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9975, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7523, kappa: 0.4907, kb_relative_information_score: 59.8292, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7531, predictive_accuracy: 0.7517, prior_entropy: 0.979, recall: 0.7517, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8753, scimark_benchmark: 939.449, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.5695, kappa: 0.1077, kb_relative_information_score: 19.7492, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.5711, predictive_accuracy: 0.5862, prior_entropy: 0.979, recall: 0.5862, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6433, root_relative_squared_error: 1.3061, scimark_benchmark: 938.9967, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7649, kappa: 0.5143, kb_relative_information_score: 61.0185, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7646, predictive_accuracy: 0.7655, prior_entropy: 0.979, recall: 0.7655, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8388, scimark_benchmark: 1346.9602, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4333, kb_relative_information_score: 19.7492, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.3436, predictive_accuracy: 0.5862, prior_entropy: 0.979, recall: 0.5862, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.6433, root_relative_squared_error: 1.3061, scimark_benchmark: 1331.6907, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7442, kappa: 0.5067, kb_relative_information_score: 67.883, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7973, predictive_accuracy: 0.7448, prior_entropy: 0.979, recall: 0.7448, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0183, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.7194, kappa: 0.4352, kb_relative_information_score: 58.221, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.733, predictive_accuracy: 0.7172, prior_entropy: 0.979, recall: 0.7172, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9965, scimark_benchmark: 1250.8301, usercpu_time_millis: 1390, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.7046, kappa: 0.4186, kb_relative_information_score: 55.5599, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7358, predictive_accuracy: 0.7034, prior_entropy: 0.979, recall: 0.7034, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.0234, scimark_benchmark: 914.4835, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7394, kappa: 0.4676, kb_relative_information_score: 52.0485, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7433, predictive_accuracy: 0.7379, prior_entropy: 0.979, recall: 0.7379, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8356, scimark_benchmark: 1330.0694, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6884, kappa: 0.3556, kb_relative_information_score: 51.0404, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6877, predictive_accuracy: 0.6897, prior_entropy: 0.979, recall: 0.6897, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1311, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.6889, kappa: 0.4, kb_relative_information_score: 42.4958, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7378, predictive_accuracy: 0.6897, prior_entropy: 0.979, recall: 0.6897, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9066, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.6913, kappa: 0.3888, kb_relative_information_score: 40.2247, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7169, predictive_accuracy: 0.6897, prior_entropy: 0.979, recall: 0.6897, relative_absolute_error: 0.7281, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9727, scimark_benchmark: 1355.7054, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.7124, kappa: 0.4172, kb_relative_information_score: 57.2986, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7212, predictive_accuracy: 0.7103, prior_entropy: 0.979, recall: 0.7103, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.0928, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.3041, kappa: -0.0249, kb_relative_information_score: -32.4027, mean_absolute_error: 0.5862, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.4611, predictive_accuracy: 0.4138, prior_entropy: 0.979, recall: 0.4138, relative_absolute_error: 1.2078, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.7656, root_relative_squared_error: 1.5546, scimark_benchmark: 1313.5005, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.6637, kappa: 0.3119, kb_relative_information_score: 41.5835, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6669, predictive_accuracy: 0.6621, prior_entropy: 0.979, recall: 0.6621, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.145, scimark_benchmark: 1392.1129, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.6487, kappa: 0.2768, kb_relative_information_score: 38.5239, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6492, predictive_accuracy: 0.6483, prior_entropy: 0.979, recall: 0.6483, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5931, root_relative_squared_error: 1.2042, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.7385, kappa: 0.4624, kb_relative_information_score: 65.643, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7394, predictive_accuracy: 0.7379, prior_entropy: 0.979, recall: 0.7379, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0394, scimark_benchmark: 1464.9318, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.4333, kb_relative_information_score: -0.0544, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.3436, predictive_accuracy: 0.5862, prior_entropy: 0.979, recall: 0.5862, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0001, scimark_benchmark: 1345.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.6734, kappa: 0.3236, kb_relative_information_score: 46.402, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6727, predictive_accuracy: 0.6759, prior_entropy: 0.979, recall: 0.6759, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.094, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.7164, kappa: 0.4112, kb_relative_information_score: 60.0782, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7232, predictive_accuracy: 0.7241, prior_entropy: 0.979, recall: 0.7241, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0057, scimark_benchmark: 931.2336, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.6798, kappa: 0.3363, kb_relative_information_score: 47.7691, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6793, predictive_accuracy: 0.6828, prior_entropy: 0.979, recall: 0.6828, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9404, scimark_benchmark: 945.6434, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7001, kappa: 0.3781, kb_relative_information_score: 51.7901, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7002, predictive_accuracy: 0.7034, prior_entropy: 0.979, recall: 0.7034, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9062, scimark_benchmark: 938.2848, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7001, kappa: 0.3781, kb_relative_information_score: 50.0609, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7002, predictive_accuracy: 0.7034, prior_entropy: 0.979, recall: 0.7034, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9031, scimark_benchmark: 938.2848, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.7001, kappa: 0.3781, kb_relative_information_score: 50.0609, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7002, predictive_accuracy: 0.7034, prior_entropy: 0.979, recall: 0.7034, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9031, scimark_benchmark: 938.2848, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.719, kappa: 0.427, kb_relative_information_score: 59.0499, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.724, predictive_accuracy: 0.7172, prior_entropy: 0.979, recall: 0.7172, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0234, scimark_benchmark: 936.7115, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7186, kappa: 0.4242, kb_relative_information_score: 58.6051, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7217, predictive_accuracy: 0.7172, prior_entropy: 0.979, recall: 0.7172, relative_absolute_error: 0.5877, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0144, scimark_benchmark: 876.8277, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7194, kappa: 0.4352, kb_relative_information_score: 63.161, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.733, predictive_accuracy: 0.7172, prior_entropy: 0.979, recall: 0.7172, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9719, scimark_benchmark: 876.8277, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7467, kappa: 0.4878, kb_relative_information_score: 61.9671, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7571, predictive_accuracy: 0.7448, prior_entropy: 0.979, recall: 0.7448, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9858, scimark_benchmark: 922.9039, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7113, kappa: 0.4335, kb_relative_information_score: 60.2485, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7455, predictive_accuracy: 0.7103, prior_entropy: 0.979, recall: 0.7103, relative_absolute_error: 0.5767, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0107, scimark_benchmark: 938.9865, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.6778, kappa: 0.3431, kb_relative_information_score: 46.5897, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6829, predictive_accuracy: 0.6759, prior_entropy: 0.979, recall: 0.6759, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0298, scimark_benchmark: 943.2817, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, build_cpu_time: 0.4415, build_memory: 817115943.6138, f_measure: 0.7397, kappa: 0.4702, kb_relative_information_score: 65.8525, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7458, predictive_accuracy: 0.7379, prior_entropy: 0.979, recall: 0.7379, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0324, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, build_cpu_time: 0.1828, build_memory: 1332493872.4966, f_measure: 0.7329, kappa: 0.4576, kb_relative_information_score: 63.1643, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7404, predictive_accuracy: 0.731, prior_entropy: 0.979, recall: 0.731, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0442, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, build_cpu_time: 0.0756, build_memory: 1139274775.3931, f_measure: 0.7261, kappa: 0.445, kb_relative_information_score: 62.0662, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.735, predictive_accuracy: 0.7241, prior_entropy: 0.979, recall: 0.7241, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0315, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, build_cpu_time: 0.0649, build_memory: 1277556333.7931, f_measure: 0.6644, kappa: 0.3185, kb_relative_information_score: 45.3637, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6718, predictive_accuracy: 0.6621, prior_entropy: 0.979, recall: 0.6621, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5424, root_relative_squared_error: 1.1012, scimark_benchmark: 909.5718,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, build_cpu_time: 0.0726, build_memory: 1119842550.3448, f_measure: 0.6925, kappa: 0.362, kb_relative_information_score: 49.1904, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.6929, predictive_accuracy: 0.6966, prior_entropy: 0.979, recall: 0.6966, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9073, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, build_cpu_time: 0.0772, build_memory: 223071429.5724, f_measure: 0.7001, kappa: 0.3781, kb_relative_information_score: 50.0609, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7002, predictive_accuracy: 0.7034, prior_entropy: 0.979, recall: 0.7034, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9031, scimark_benchmark: 943.2074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, build_cpu_time: 7.412, build_memory: 1128095795.4207, f_measure: 0.7176, kappa: 0.4186, kb_relative_information_score: 57.2945, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.718, predictive_accuracy: 0.7172, prior_entropy: 0.979, recall: 0.7172, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9382, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, build_cpu_time: 14.6978, build_memory: 1072919369.0483, f_measure: 0.7169, kappa: 0.4157, kb_relative_information_score: 54.9041, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7166, predictive_accuracy: 0.7172, prior_entropy: 0.979, recall: 0.7172, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0196, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, build_cpu_time: 31.0113, build_memory: 25974069.7931, f_measure: 0.7307, kappa: 0.4442, kb_relative_information_score: 63.7516, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7304, predictive_accuracy: 0.731, prior_entropy: 0.979, recall: 0.731, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9984, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, build_cpu_time: 69.3135, build_memory: 58541604.1379, f_measure: 0.7451, kappa: 0.4753, kb_relative_information_score: 67.6719, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7455, predictive_accuracy: 0.7448, prior_entropy: 0.979, recall: 0.7448, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0257, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, build_cpu_time: 30.2834, build_memory: 50966839.669, f_measure: 0.7451, kappa: 0.4753, kb_relative_information_score: 68.8013, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7455, predictive_accuracy: 0.7448, prior_entropy: 0.979, recall: 0.7448, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0113, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, build_cpu_time: 14.9612, build_memory: 128781099.5862, f_measure: 0.7527, kappa: 0.4932, kb_relative_information_score: 70.0852, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7549, predictive_accuracy: 0.7517, prior_entropy: 0.979, recall: 0.7517, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4955, root_relative_squared_error: 1.006, scimark_benchmark: 941.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, build_cpu_time: 7.1993, build_memory: 1333447439.3379, f_measure: 0.7793, kappa: 0.5451, kb_relative_information_score: 75.8633, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7793, predictive_accuracy: 0.7793, prior_entropy: 0.979, recall: 0.7793, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9575, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, build_cpu_time: 0.9606, build_memory: 251514239.0621, f_measure: 0.7451, kappa: 0.4753, kb_relative_information_score: 66.7518, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7455, predictive_accuracy: 0.7448, prior_entropy: 0.979, recall: 0.7448, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9818, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, build_cpu_time: 1.8222, build_memory: 599603516.3586, f_measure: 0.7299, kappa: 0.4415, kb_relative_information_score: 64.1924, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7294, predictive_accuracy: 0.731, prior_entropy: 0.979, recall: 0.731, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0107, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, build_cpu_time: 13.5307, build_memory: 1344596949.0207, f_measure: 0.6978, kappa: 0.3806, kb_relative_information_score: 54.5458, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7001, predictive_accuracy: 0.6966, prior_entropy: 0.979, recall: 0.6966, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5432, root_relative_squared_error: 1.103, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, build_cpu_time: 0.339, build_memory: 244558959.6138, f_measure: 0.7151, kappa: 0.4099, kb_relative_information_score: 58.173, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7148, predictive_accuracy: 0.7172, prior_entropy: 0.979, recall: 0.7172, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9882, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, build_cpu_time: 0.2878, build_memory: 195131502.9517, f_measure: 0.7151, kappa: 0.4099, kb_relative_information_score: 58.173, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7148, predictive_accuracy: 0.7172, prior_entropy: 0.979, recall: 0.7172, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9882, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, build_cpu_time: 0.2977, build_memory: 739704249.2138, f_measure: 0.7151, kappa: 0.4099, kb_relative_information_score: 58.173, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7148, predictive_accuracy: 0.7172, prior_entropy: 0.979, recall: 0.7172, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9882, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, build_cpu_time: 0.2966, build_memory: 547010120.1103, f_measure: 0.7012, kappa: 0.3811, kb_relative_information_score: 55.4292, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7007, predictive_accuracy: 0.7034, prior_entropy: 0.979, recall: 0.7034, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0035, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, build_cpu_time: 0.2001, build_memory: 2089362462.6207, f_measure: 0.7038, kappa: 0.3902, kb_relative_information_score: 55.825, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7042, predictive_accuracy: 0.7034, prior_entropy: 0.979, recall: 0.7034, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9626, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, build_cpu_time: 0.1642, build_memory: 837796325.4069, f_measure: 0.7182, kappa: 0.4214, kb_relative_information_score: 59.7146, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.7197, predictive_accuracy: 0.7172, prior_entropy: 0.979, recall: 0.7172, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.048, scimark_benchmark: 920.7965,

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