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OpenML
Task
Supervised Classification on squash-stored

Supervised Classification on squash-stored

Task 3835 Supervised Classification squash-stored 492 runs submitted
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Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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Metric:

492 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.6538, kappa: 0.2984, kb_relative_information_score: 17.4906, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.6538, predictive_accuracy: 0.6538, prior_entropy: 0.9911, recall: 0.6538, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9184, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7493, kappa: 0.491, kb_relative_information_score: 25.4947, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7492, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0067, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3993, kb_relative_information_score: 5.1338, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.311, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6651, root_relative_squared_error: 1.3391, scimark_benchmark: 869.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7892, kappa: 0.5769, kb_relative_information_score: 29.5669, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7951, predictive_accuracy: 0.7885, prior_entropy: 0.9911, recall: 0.7885, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.926, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7889, kappa: 0.5806, kb_relative_information_score: 24.3173, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.8039, predictive_accuracy: 0.7885, prior_entropy: 0.9911, recall: 0.7885, relative_absolute_error: 0.5478, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7759, scimark_benchmark: 934.6432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.7125, kappa: 0.4231, kb_relative_information_score: 21.4225, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7182, predictive_accuracy: 0.7115, prior_entropy: 0.9911, recall: 0.7115, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.0814, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7508, kappa: 0.5, kb_relative_information_score: 20.1944, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7567, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8295, scimark_benchmark: 887.6719, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3993, kb_relative_information_score: 5.1338, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.311, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6651, root_relative_squared_error: 1.3391, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7699, kappa: 0.5364, kb_relative_information_score: 27.5778, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7729, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9356, scimark_benchmark: 918.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8077, kappa: 0.6102, kb_relative_information_score: 28.4749, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.9911, recall: 0.8077, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8337, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 26.5887, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8747, scimark_benchmark: 890.2894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7692, kappa: 0.5322, kb_relative_information_score: 17.1875, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8128, scimark_benchmark: 1336.2509, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.6309, kappa: 0.2492, kb_relative_information_score: 13.2571, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.6314, predictive_accuracy: 0.6346, prior_entropy: 0.9911, recall: 0.6346, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5716, root_relative_squared_error: 1.1509, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4093, f_measure: 0.3985, kappa: -0.1028, kb_relative_information_score: -2.777, mean_absolute_error: 0.5168, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.3851, predictive_accuracy: 0.5, prior_entropy: 0.9911, recall: 0.5, relative_absolute_error: 1.0471, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.0959, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7308, kappa: 0.4686, kb_relative_information_score: 18.7241, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7505, predictive_accuracy: 0.7308, prior_entropy: 0.9911, recall: 0.7308, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9062, scimark_benchmark: 1330.2678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.6095, kappa: 0.2061, kb_relative_information_score: 11.2421, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.611, predictive_accuracy: 0.6154, prior_entropy: 0.9911, recall: 0.6154, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6202, root_relative_squared_error: 1.2487, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.263, kappa: -0.0386, kb_relative_information_score: -9.1188, mean_absolute_error: 0.5769, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.1908, predictive_accuracy: 0.4231, prior_entropy: 0.9911, recall: 0.4231, relative_absolute_error: 1.1688, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.7596, root_relative_squared_error: 1.5293, scimark_benchmark: 1308.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.7508, kappa: 0.5, kb_relative_information_score: 21.2106, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7567, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9145, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7879, kappa: 0.5843, kb_relative_information_score: 29.5669, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.8166, predictive_accuracy: 0.7885, prior_entropy: 0.9911, recall: 0.7885, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.926, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7012, kappa: 0.3963, kb_relative_information_score: 21.4225, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.719, predictive_accuracy: 0.7115, prior_entropy: 0.9911, recall: 0.7115, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.0814, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4378, f_measure: 0.3993, kb_relative_information_score: -0.1445, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.311, predictive_accuracy: 0.5577, prior_entropy: 0.9911, recall: 0.5577, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.002, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.7505, kappa: 0.4955, kb_relative_information_score: 19.8727, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7515, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9043, scimark_benchmark: 1501.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.8083, kappa: 0.6137, kb_relative_information_score: 30.7588, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.8112, predictive_accuracy: 0.8077, prior_entropy: 0.9911, recall: 0.8077, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8875, scimark_benchmark: 927.0753, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7889, kappa: 0.5731, kb_relative_information_score: 30.039, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7898, predictive_accuracy: 0.7885, prior_entropy: 0.9911, recall: 0.7885, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.444, root_relative_squared_error: 0.894, scimark_benchmark: 945.7621, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.8065, kappa: 0.6067, kb_relative_information_score: 31.4369, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.8078, predictive_accuracy: 0.8077, prior_entropy: 0.9911, recall: 0.8077, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8834, scimark_benchmark: 942.3168, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.7678, kappa: 0.528, kb_relative_information_score: 27.5256, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7688, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9672, scimark_benchmark: 894.7455, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7505, kappa: 0.4955, kb_relative_information_score: 26.0144, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7515, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9825, scimark_benchmark: 936.7115, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.7699, kappa: 0.5364, kb_relative_information_score: 26.5077, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7729, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9641, scimark_benchmark: 943.2817, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.7699, kappa: 0.5405, kb_relative_information_score: 27.2492, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7797, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9619, scimark_benchmark: 936.6206, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7505, kappa: 0.5044, kb_relative_information_score: 26.0717, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7649, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.4949, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9696, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7125, kappa: 0.4231, kb_relative_information_score: 21.8929, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7182, predictive_accuracy: 0.7115, prior_entropy: 0.9911, recall: 0.7115, relative_absolute_error: 0.5735, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0567, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.7121, kappa: 0.4179, kb_relative_information_score: 22.7827, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7131, predictive_accuracy: 0.7115, prior_entropy: 0.9911, recall: 0.7115, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0287, scimark_benchmark: 933.8635, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.7505, kappa: 0.4955, kb_relative_information_score: 24.5993, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7515, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.5256, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9889, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7308, kappa: 0.4543, kb_relative_information_score: 22.5122, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7308, predictive_accuracy: 0.7308, prior_entropy: 0.9911, recall: 0.7308, relative_absolute_error: 0.5612, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9917, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, build_cpu_time: 0.0828, build_memory: 927055372.3077, f_measure: 0.7678, kappa: 0.528, kb_relative_information_score: 27.3293, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7688, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9679, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, build_cpu_time: 1.1036, build_memory: 755408365.3846, f_measure: 0.7505, kappa: 0.5044, kb_relative_information_score: 23.8022, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7649, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0084, scimark_benchmark: 941.6106,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, build_cpu_time: 0.3099, build_memory: 1666437927.3846, f_measure: 0.7316, kappa: 0.4591, kb_relative_information_score: 22.8946, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7345, predictive_accuracy: 0.7308, prior_entropy: 0.9911, recall: 0.7308, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.0402, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, build_cpu_time: 0.1394, build_memory: 1172328281.8462, f_measure: 0.7505, kappa: 0.5044, kb_relative_information_score: 28.2396, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7649, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.8958, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, build_cpu_time: 0.2999, build_memory: 950422045.6923, f_measure: 0.7308, kappa: 0.4543, kb_relative_information_score: 23.5163, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7308, predictive_accuracy: 0.7308, prior_entropy: 0.9911, recall: 0.7308, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0379, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, build_cpu_time: 2.8503, build_memory: 1817968760.4615, f_measure: 0.7508, kappa: 0.5, kb_relative_information_score: 25.489, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7567, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0067, scimark_benchmark: 914.1182,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, build_cpu_time: 0.0302, build_memory: 140142015.2308, f_measure: 0.7699, kappa: 0.5405, kb_relative_information_score: 27.2029, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7797, predictive_accuracy: 0.7692, prior_entropy: 0.9911, recall: 0.7692, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9477, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, build_cpu_time: 0.0257, build_memory: 458875090.1538, f_measure: 0.7508, kappa: 0.5, kb_relative_information_score: 26.053, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.7567, predictive_accuracy: 0.75, prior_entropy: 0.9911, recall: 0.75, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9513, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, build_cpu_time: 0.014, build_memory: 1497896295.3846, f_measure: 0.8083, kappa: 0.6171, kb_relative_information_score: 30.5936, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4936, number_of_instances: 52, precision: 0.8184, predictive_accuracy: 0.8077, prior_entropy: 0.9911, recall: 0.8077, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8645, 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