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OpenML
OpenML
Supervised Classification on boston

Supervised Classification on boston

Task 3718 Supervised Classification boston 527 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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527 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8615, kappa: 0.7139, kb_relative_information_score: 326.3981, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8614, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6707, scimark_benchmark: 825.5282, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8565, kappa: 0.7064, kb_relative_information_score: 353.3835, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8597, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7714, scimark_benchmark: 1313.9994, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.8, kappa: 0.5869, kb_relative_information_score: 294.88, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7998, predictive_accuracy: 0.8004, prior_entropy: 0.9782, recall: 0.8004, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.9074, scimark_benchmark: 916.6405, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.8587, kappa: 0.7071, kb_relative_information_score: 357.5623, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8597, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7608, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 305.2536, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6334, scimark_benchmark: 930.5999, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.7372, kappa: 0.4894, kb_relative_information_score: 228.0188, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7822, predictive_accuracy: 0.7372, prior_entropy: 0.9782, recall: 0.7372, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0412, scimark_benchmark: 935.5075, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8968, kappa: 0.7865, kb_relative_information_score: 331.7016, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8971, predictive_accuracy: 0.8972, prior_entropy: 0.9782, recall: 0.8972, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.5919, scimark_benchmark: 933.3136, usercpu_time_millis: 1460, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8655, kappa: 0.7224, kb_relative_information_score: 330.9793, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8654, predictive_accuracy: 0.8656, prior_entropy: 0.9782, recall: 0.8656, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6899, scimark_benchmark: 1350.9691, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.887, kappa: 0.7662, kb_relative_information_score: 331.7301, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8871, predictive_accuracy: 0.8874, prior_entropy: 0.9782, recall: 0.8874, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.5903, scimark_benchmark: 1361.1055, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8499, kappa: 0.6907, kb_relative_information_score: 347.1153, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.85, predictive_accuracy: 0.8498, prior_entropy: 0.9782, recall: 0.8498, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7871, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8501, kappa: 0.6888, kb_relative_information_score: 303.237, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8527, predictive_accuracy: 0.8518, prior_entropy: 0.9782, recall: 0.8518, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.7003, scimark_benchmark: 1066.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.861, kappa: 0.7122, kb_relative_information_score: 311.2513, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8613, predictive_accuracy: 0.8617, prior_entropy: 0.9782, recall: 0.8617, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6931, scimark_benchmark: 1354.2491, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8769, kappa: 0.7451, kb_relative_information_score: 376.367, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8773, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7109, scimark_benchmark: 1372.2145, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.4825, kappa: 0.0321, kb_relative_information_score: 73.4023, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.57, predictive_accuracy: 0.5909, prior_entropy: 0.9782, recall: 0.5909, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6396, root_relative_squared_error: 1.299, scimark_benchmark: 1280.6952, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.867, kappa: 0.7248, kb_relative_information_score: 336.851, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8673, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6812, scimark_benchmark: 1392.1129, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.8462, kappa: 0.681, kb_relative_information_score: 345.0258, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8483, predictive_accuracy: 0.8478, prior_entropy: 0.9782, recall: 0.8478, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7923, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.8492, kappa: 0.688, kb_relative_information_score: 347.1153, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8493, predictive_accuracy: 0.8498, prior_entropy: 0.9782, recall: 0.8498, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7871, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4342, kb_relative_information_score: -0.0434, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.3445, predictive_accuracy: 0.587, prior_entropy: 0.9782, recall: 0.587, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4924, root_relative_squared_error: 1, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8595, kappa: 0.71, kb_relative_information_score: 331.1165, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8594, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7206, scimark_benchmark: 1501.4698, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8137, kappa: 0.6237, kb_relative_information_score: 302.8621, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8257, predictive_accuracy: 0.8123, prior_entropy: 0.9782, recall: 0.8123, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8232, scimark_benchmark: 931.2336, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8327, kappa: 0.6567, kb_relative_information_score: 292.0617, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8344, predictive_accuracy: 0.832, prior_entropy: 0.9782, recall: 0.832, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6919, scimark_benchmark: 941.7954, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8327, kappa: 0.6567, kb_relative_information_score: 292.0617, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8344, predictive_accuracy: 0.832, prior_entropy: 0.9782, recall: 0.832, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6919, scimark_benchmark: 923.7642, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8327, kappa: 0.6567, kb_relative_information_score: 292.0617, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8344, predictive_accuracy: 0.832, prior_entropy: 0.9782, recall: 0.832, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6919, scimark_benchmark: 894.7455, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8703, kappa: 0.7311, kb_relative_information_score: 366.011, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8723, predictive_accuracy: 0.8715, prior_entropy: 0.9782, recall: 0.8715, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.7022, scimark_benchmark: 894.7455, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8626, kappa: 0.7153, kb_relative_information_score: 359.7449, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8637, predictive_accuracy: 0.8636, prior_entropy: 0.9782, recall: 0.8636, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7138, scimark_benchmark: 943.2817, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8678, kappa: 0.7255, kb_relative_information_score: 363.1558, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8718, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7112, scimark_benchmark: 938.2848, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.857, kappa: 0.704, kb_relative_information_score: 355.1135, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8573, predictive_accuracy: 0.8577, prior_entropy: 0.9782, recall: 0.8577, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.355, root_relative_squared_error: 0.721, scimark_benchmark: 933.8635, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8518, kappa: 0.6923, kb_relative_information_score: 347.6859, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8554, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7482, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8728, kappa: 0.7365, kb_relative_information_score: 350.1791, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8734, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6567, scimark_benchmark: 933.8635, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.883, kappa: 0.758, kb_relative_information_score: 348.7046, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8832, predictive_accuracy: 0.8834, prior_entropy: 0.9782, recall: 0.8834, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6328, scimark_benchmark: 924.6116, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8812, kappa: 0.7544, kb_relative_information_score: 343.7214, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8811, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6328, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8752, kappa: 0.7419, kb_relative_information_score: 331.1015, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8752, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6469, scimark_benchmark: 947.9494, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, build_cpu_time: 7.7546, build_memory: 859934608, f_measure: 0.8852, kappa: 0.7629, kb_relative_information_score: 385.7712, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8851, predictive_accuracy: 0.8854, prior_entropy: 0.9782, recall: 0.8854, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6683, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, build_cpu_time: 3.905, build_memory: 224478990.5455, f_measure: 0.879, kappa: 0.7498, kb_relative_information_score: 375.5393, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8792, predictive_accuracy: 0.8794, prior_entropy: 0.9782, recall: 0.8794, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.6891, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, build_cpu_time: 0.5345, build_memory: 595673927.6047, f_measure: 0.8889, kappa: 0.7701, kb_relative_information_score: 379.2483, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8892, predictive_accuracy: 0.8893, prior_entropy: 0.9782, recall: 0.8893, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6443, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, build_cpu_time: 2.1387, build_memory: 133311943.7154, f_measure: 0.8969, kappa: 0.7868, kb_relative_information_score: 395.6786, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8971, predictive_accuracy: 0.8972, prior_entropy: 0.9782, recall: 0.8972, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.634, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, build_cpu_time: 3.9616, build_memory: 875213419.9209, f_measure: 0.8928, kappa: 0.778, kb_relative_information_score: 394.6609, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8933, predictive_accuracy: 0.8933, prior_entropy: 0.9782, recall: 0.8933, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6457, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, build_cpu_time: 8.5995, build_memory: 348276045.5494, f_measure: 0.8851, kappa: 0.7626, kb_relative_information_score: 386.8333, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8851, predictive_accuracy: 0.8854, prior_entropy: 0.9782, recall: 0.8854, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6726, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, build_cpu_time: 0.4624, build_memory: 451388321.5652, f_measure: 0.8673, kappa: 0.7259, kb_relative_information_score: 367.8647, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8673, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6912, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, build_cpu_time: 0.3444, build_memory: 2591044384.1897, f_measure: 0.8673, kappa: 0.7259, kb_relative_information_score: 366.9606, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8673, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6956, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 0.3024, build_memory: 934855568.8063, f_measure: 0.8694, kappa: 0.7302, kb_relative_information_score: 367.9501, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8693, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6809, scimark_benchmark: 913.3372,

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