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OpenML
Task
Supervised Classification on fri_c2_250_10

Supervised Classification on fri_c2_250_10

Task 3695 Supervised Classification fri_c2_250_10 572 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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572 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8206, kappa: 0.614, kb_relative_information_score: 114.6383, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8214, predictive_accuracy: 0.82, prior_entropy: 0.9468, recall: 0.82, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.804, scimark_benchmark: 939.5088, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.6988, kappa: 0.4222, kb_relative_information_score: 80.48, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.7796, predictive_accuracy: 0.696, prior_entropy: 0.9468, recall: 0.696, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1459, scimark_benchmark: 1313.9994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4945, kb_relative_information_score: 47.067, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.4045, predictive_accuracy: 0.636, prior_entropy: 0.9468, recall: 0.636, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2539, scimark_benchmark: 1333.5799, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.8213, kappa: 0.6175, kb_relative_information_score: 149.5335, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8239, predictive_accuracy: 0.82, prior_entropy: 0.9468, recall: 0.82, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8818, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7486, kappa: 0.4515, kb_relative_information_score: 64.4659, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.7477, predictive_accuracy: 0.752, prior_entropy: 0.9468, recall: 0.752, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8636, scimark_benchmark: 934.6432, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7759, kappa: 0.5099, kb_relative_information_score: 127.2582, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.7763, predictive_accuracy: 0.78, prior_entropy: 0.9468, recall: 0.78, relative_absolute_error: 0.4749, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9748, scimark_benchmark: 939.449, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.786, kappa: 0.5345, kb_relative_information_score: 92.802, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.7854, predictive_accuracy: 0.788, prior_entropy: 0.9468, recall: 0.788, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8093, scimark_benchmark: 912.5006, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8678, kappa: 0.7142, kb_relative_information_score: 173.9958, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8677, predictive_accuracy: 0.868, prior_entropy: 0.9468, recall: 0.868, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6312, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8991, kappa: 0.7804, kb_relative_information_score: 173.4395, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8997, predictive_accuracy: 0.9, prior_entropy: 0.9468, recall: 0.9, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6209, scimark_benchmark: 1372.2145, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9111, kappa: 0.8063, kb_relative_information_score: 162.0241, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9122, predictive_accuracy: 0.912, prior_entropy: 0.9468, recall: 0.912, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5578, scimark_benchmark: 1327.8711, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8646, kappa: 0.709, kb_relative_information_score: 174.0364, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8657, predictive_accuracy: 0.864, prior_entropy: 0.9468, recall: 0.864, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7665, scimark_benchmark: 1307.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8871, kappa: 0.7546, kb_relative_information_score: 161.6368, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8874, predictive_accuracy: 0.888, prior_entropy: 0.9468, recall: 0.888, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6564, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9035, kappa: 0.7907, kb_relative_information_score: 170.3111, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9035, predictive_accuracy: 0.904, prior_entropy: 0.9468, recall: 0.904, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.6121, scimark_benchmark: 1327.6929, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.6927, kappa: 0.3308, kb_relative_information_score: 98.3003, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.7445, predictive_accuracy: 0.728, prior_entropy: 0.9468, recall: 0.728, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0839, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4859, f_measure: 0.2327, kappa: -0.021, kb_relative_information_score: -104.4052, mean_absolute_error: 0.636, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.448, predictive_accuracy: 0.364, prior_entropy: 0.9468, recall: 0.364, relative_absolute_error: 1.3728, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.7975, root_relative_squared_error: 1.6575, scimark_benchmark: 1337.7959, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.8583, kappa: 0.6911, kb_relative_information_score: 164.9616, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.859, predictive_accuracy: 0.86, prior_entropy: 0.9468, recall: 0.86, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.7169, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8497, kappa: 0.6719, kb_relative_information_score: 167.3538, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8511, predictive_accuracy: 0.852, prior_entropy: 0.9468, recall: 0.852, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7996, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8874, kappa: 0.7558, kb_relative_information_score: 187.4016, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8874, predictive_accuracy: 0.888, prior_entropy: 0.9468, recall: 0.888, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6956, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.4945, kb_relative_information_score: -0.101, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.4045, predictive_accuracy: 0.636, prior_entropy: 0.9468, recall: 0.636, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4812, root_relative_squared_error: 1.0001, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.8868, kappa: 0.7535, kb_relative_information_score: 174.9875, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8876, predictive_accuracy: 0.888, prior_entropy: 0.9468, recall: 0.888, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6721, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8499, kappa: 0.6822, kb_relative_information_score: 156.0749, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8572, predictive_accuracy: 0.848, prior_entropy: 0.9468, recall: 0.848, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7967, scimark_benchmark: 931.2336, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.849, kappa: 0.6763, kb_relative_information_score: 118.5927, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8509, predictive_accuracy: 0.848, prior_entropy: 0.9468, recall: 0.848, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7608, scimark_benchmark: 941.7954, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.849, kappa: 0.6763, kb_relative_information_score: 118.5927, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8509, predictive_accuracy: 0.848, prior_entropy: 0.9468, recall: 0.848, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7608, scimark_benchmark: 923.7642, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.849, kappa: 0.6763, kb_relative_information_score: 118.5927, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8509, predictive_accuracy: 0.848, prior_entropy: 0.9468, recall: 0.848, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7608, scimark_benchmark: 894.7455, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8994, kappa: 0.7815, kb_relative_information_score: 193.7132, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8995, predictive_accuracy: 0.9, prior_entropy: 0.9468, recall: 0.9, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6317, scimark_benchmark: 911.3823, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8994, kappa: 0.7815, kb_relative_information_score: 194.7804, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8995, predictive_accuracy: 0.9, prior_entropy: 0.9468, recall: 0.9, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.6146, scimark_benchmark: 943.2817, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8962, kappa: 0.7764, kb_relative_information_score: 189.0535, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8966, predictive_accuracy: 0.896, prior_entropy: 0.9468, recall: 0.896, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6386, scimark_benchmark: 942.1229, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8574, kappa: 0.6961, kb_relative_information_score: 166.7917, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8616, predictive_accuracy: 0.856, prior_entropy: 0.9468, recall: 0.856, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7585, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8384, kappa: 0.6594, kb_relative_information_score: 156.931, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8485, predictive_accuracy: 0.836, prior_entropy: 0.9468, recall: 0.836, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.8166, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8991, kappa: 0.7804, kb_relative_information_score: 187.8902, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8997, predictive_accuracy: 0.9, prior_entropy: 0.9468, recall: 0.9, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6293, scimark_benchmark: 936.6206, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8991, kappa: 0.7804, kb_relative_information_score: 184.332, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8997, predictive_accuracy: 0.9, prior_entropy: 0.9468, recall: 0.9, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.6092, scimark_benchmark: 924.6116, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8874, kappa: 0.7558, kb_relative_information_score: 174.7803, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8874, predictive_accuracy: 0.888, prior_entropy: 0.9468, recall: 0.888, relative_absolute_error: 0.3062, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.6072, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8868, kappa: 0.7535, kb_relative_information_score: 169.9473, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8876, predictive_accuracy: 0.888, prior_entropy: 0.9468, recall: 0.888, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.5859, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, build_cpu_time: 0.1157, build_memory: 666132937.6, f_measure: 0.8868, kappa: 0.7535, kb_relative_information_score: 186.6977, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8876, predictive_accuracy: 0.888, prior_entropy: 0.9468, recall: 0.888, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6911, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, build_cpu_time: 0.0583, build_memory: 1181969193.6, f_measure: 0.8903, kappa: 0.7606, kb_relative_information_score: 190.4491, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8925, predictive_accuracy: 0.892, prior_entropy: 0.9468, recall: 0.892, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6577, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, build_cpu_time: 0.0445, build_memory: 351048504, f_measure: 0.8861, kappa: 0.7511, kb_relative_information_score: 185.7604, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8888, predictive_accuracy: 0.888, prior_entropy: 0.9468, recall: 0.888, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6885, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, build_cpu_time: 0.0239, build_memory: 1650689728, f_measure: 0.8822, kappa: 0.7428, kb_relative_information_score: 184.6477, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8842, predictive_accuracy: 0.884, prior_entropy: 0.9468, recall: 0.884, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6741, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, build_cpu_time: 0.0072, build_memory: 934713984, f_measure: 0.8783, kappa: 0.7346, kb_relative_information_score: 185.7973, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9468, recall: 0.88, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.647, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, build_cpu_time: 0.0161, build_memory: 2172396436, f_measure: 0.849, kappa: 0.6763, kb_relative_information_score: 118.5927, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8509, predictive_accuracy: 0.848, prior_entropy: 0.9468, recall: 0.848, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7608, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, build_cpu_time: 0.0161, build_memory: 1337585020.8, f_measure: 0.849, kappa: 0.6763, kb_relative_information_score: 118.5927, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8509, predictive_accuracy: 0.848, prior_entropy: 0.9468, recall: 0.848, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7608, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, build_cpu_time: 0.0155, build_memory: 744022410.4, f_measure: 0.849, kappa: 0.6763, kb_relative_information_score: 118.5927, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8509, predictive_accuracy: 0.848, prior_entropy: 0.9468, recall: 0.848, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7608, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, build_cpu_time: 0.0182, build_memory: 1377590321.6, f_measure: 0.849, kappa: 0.6763, kb_relative_information_score: 118.5927, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8509, predictive_accuracy: 0.848, prior_entropy: 0.9468, recall: 0.848, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7608, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, build_cpu_time: 0.0212, build_memory: 1527986051.2, f_measure: 0.849, kappa: 0.6763, kb_relative_information_score: 118.5927, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8509, predictive_accuracy: 0.848, prior_entropy: 0.9468, recall: 0.848, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7608, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, build_cpu_time: 4.0746, build_memory: 908597535.2, f_measure: 0.872, kappa: 0.7235, kb_relative_information_score: 178.2266, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9468, recall: 0.872, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6618, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, build_cpu_time: 7.7103, build_memory: 535828384.8, f_measure: 0.8919, kappa: 0.7662, kb_relative_information_score: 185.8255, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8918, predictive_accuracy: 0.892, prior_entropy: 0.9468, recall: 0.892, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6522, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, build_cpu_time: 16.3375, build_memory: 3089071844.8, f_measure: 0.8919, kappa: 0.7662, kb_relative_information_score: 189.0663, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8918, predictive_accuracy: 0.892, prior_entropy: 0.9468, recall: 0.892, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6694, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, build_cpu_time: 33.8372, build_memory: 788237405.6, f_measure: 0.8955, kappa: 0.7733, kb_relative_information_score: 190.8539, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8954, predictive_accuracy: 0.896, prior_entropy: 0.9468, recall: 0.896, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6711, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, build_cpu_time: 64.6434, build_memory: 838074352.8, f_measure: 0.9035, kappa: 0.7907, kb_relative_information_score: 196.068, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9035, predictive_accuracy: 0.904, prior_entropy: 0.9468, recall: 0.904, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6438, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, build_cpu_time: 17.6368, build_memory: 351821123.2, f_measure: 0.9027, kappa: 0.7877, kb_relative_information_score: 196.3117, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9046, predictive_accuracy: 0.904, prior_entropy: 0.9468, recall: 0.904, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.644, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, build_cpu_time: 9.212, build_memory: 77003168.8, f_measure: 0.8988, kappa: 0.7794, kb_relative_information_score: 194.0851, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9468, recall: 0.9, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6572, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, build_cpu_time: 4.4853, build_memory: 245780976, f_measure: 0.8865, kappa: 0.7523, kb_relative_information_score: 188.6617, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9468, recall: 0.888, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6763, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, build_cpu_time: 2.2421, build_memory: 810271464.8, f_measure: 0.8787, kappa: 0.7359, kb_relative_information_score: 180.5312, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8794, predictive_accuracy: 0.88, prior_entropy: 0.9468, recall: 0.88, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.7096, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, build_cpu_time: 1.0327, build_memory: 116763448.8, f_measure: 0.8741, kappa: 0.7251, kb_relative_information_score: 184.4652, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9468, recall: 0.876, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6569, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, build_cpu_time: 0.3278, build_memory: 270838173.6, f_measure: 0.8999, kappa: 0.7835, kb_relative_information_score: 184.3929, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8998, predictive_accuracy: 0.9, prior_entropy: 0.9468, recall: 0.9, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6613, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, build_cpu_time: 0.3987, build_memory: 199844600, f_measure: 0.8794, kappa: 0.7384, kb_relative_information_score: 183.8223, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8793, predictive_accuracy: 0.88, prior_entropy: 0.9468, recall: 0.88, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6966, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, build_cpu_time: 0.8373, build_memory: 208352224.8, f_measure: 0.8991, kappa: 0.7804, kb_relative_information_score: 194.4106, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8997, predictive_accuracy: 0.9, prior_entropy: 0.9468, recall: 0.9, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6494, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, build_cpu_time: 1.4785, build_memory: 678517006.4, f_measure: 0.9147, kappa: 0.8138, kb_relative_information_score: 202.7423, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9174, predictive_accuracy: 0.916, prior_entropy: 0.9468, recall: 0.916, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.29, root_relative_squared_error: 0.6026, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, build_cpu_time: 2.9444, build_memory: 957165457.6, f_measure: 0.903, kappa: 0.7887, kb_relative_information_score: 196.654, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9468, recall: 0.904, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6388, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, build_cpu_time: 0.3774, build_memory: 991022108.8, f_measure: 0.8988, kappa: 0.7794, kb_relative_information_score: 193.0236, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9468, recall: 0.9, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.649, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, build_cpu_time: 0.3245, build_memory: 781555640, f_measure: 0.8988, kappa: 0.7794, kb_relative_information_score: 193.0236, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9468, recall: 0.9, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.649, scimark_benchmark: 893.4088,

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