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OpenML
Task
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 16636 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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16636 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8626, kappa: 0.8574, kb_relative_information_score: 7080.0294, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8712, predictive_accuracy: 0.8629, prior_entropy: 4.7004, recall: 0.8629, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.4376, scimark_benchmark: 940.3347, usercpu_time_millis: 368880, usercpu_time_millis_testing: 368880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9613, kappa: 0.9597, kb_relative_information_score: 1652.1764, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9619, predictive_accuracy: 0.9613, prior_entropy: 4.7004, recall: 0.9613, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9668, scimark_benchmark: 1325.2092, usercpu_time_millis: 639410, usercpu_time_millis_testing: 598100, usercpu_time_millis_training: 41310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9686, kappa: 0.9673, kb_relative_information_score: 1653.4025, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9687, predictive_accuracy: 0.9686, prior_entropy: 4.7004, recall: 0.9686, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9666, scimark_benchmark: 912.5006, usercpu_time_millis: 45080, usercpu_time_millis_testing: 30100, usercpu_time_millis_training: 14980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9638, kappa: 0.9624, kb_relative_information_score: 7548.8363, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9639, predictive_accuracy: 0.9638, prior_entropy: 4.7004, recall: 0.9638, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.248, scimark_benchmark: 1337.7959, usercpu_time_millis: 734520, usercpu_time_millis_testing: 2450, usercpu_time_millis_training: 732070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9542, kappa: 0.9524, kb_relative_information_score: 7435.6907, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 4.7004, recall: 0.9542, relative_absolute_error: 0.0476, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.3086, scimark_benchmark: 1304.9611, usercpu_time_millis: 23220, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 22990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9552, kappa: 0.9534, kb_relative_information_score: 7443.7978, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9558, predictive_accuracy: 0.9552, prior_entropy: 4.7004, recall: 0.9552, relative_absolute_error: 0.0466, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.3051, scimark_benchmark: 1310.3951, usercpu_time_millis: 470760, usercpu_time_millis_testing: 191560, usercpu_time_millis_training: 279200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9389, kappa: 0.9365, kb_relative_information_score: 6551.1838, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9395, predictive_accuracy: 0.939, prior_entropy: 4.7004, recall: 0.939, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4707, scimark_benchmark: 1327.8711, usercpu_time_millis: 25650, usercpu_time_millis_testing: 1540, usercpu_time_millis_training: 24110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.6685, kappa: 0.6539, kb_relative_information_score: 5170.7683, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6706, predictive_accuracy: 0.6672, prior_entropy: 4.7004, recall: 0.6672, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.16, root_relative_squared_error: 0.832, scimark_benchmark: 1325.942, usercpu_time_millis: 380, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8179, kappa: 0.8097, kb_relative_information_score: 6374.3695, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8204, predictive_accuracy: 0.817, prior_entropy: 4.7004, recall: 0.817, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.5546, scimark_benchmark: 1318.5526, usercpu_time_millis: 6720, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8281, kappa: 0.8211, kb_relative_information_score: 6369.9387, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8288, predictive_accuracy: 0.828, prior_entropy: 4.7004, recall: 0.828, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.5509, scimark_benchmark: 1354.2491, usercpu_time_millis: 168640, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 168580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0029, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142, scimark_benchmark: 1466.6185, usercpu_time_millis: 421210, usercpu_time_millis_testing: 84100, usercpu_time_millis_training: 337110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8482, kappa: 0.8421, kb_relative_information_score: 6600.2165, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8487, predictive_accuracy: 0.8481, prior_entropy: 4.7004, recall: 0.8481, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.5517, scimark_benchmark: 1351.788, usercpu_time_millis: 126870, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 126790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.139, kappa: 0.1133, kb_relative_information_score: 1068.9119, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.1365, predictive_accuracy: 0.1474, prior_entropy: 4.7004, recall: 0.1474, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.3317, scimark_benchmark: 1465.2979, usercpu_time_millis: 1660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1421, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 1505.597, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8405, kappa: 0.8341, kb_relative_information_score: 6568.9034, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8411, predictive_accuracy: 0.8405, prior_entropy: 4.7004, recall: 0.8405, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.5543, scimark_benchmark: 1335.643, usercpu_time_millis: 15600, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 15540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8598, kappa: 0.8558, kb_relative_information_score: 6758.3747, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8702, predictive_accuracy: 0.8614, prior_entropy: 4.7004, recall: 0.8614, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.5194, scimark_benchmark: 931.2336, usercpu_time_millis: 757620, usercpu_time_millis_testing: 286510, usercpu_time_millis_training: 471110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8496, kappa: 0.8447, kb_relative_information_score: 5519.7413, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 4.7004, recall: 0.8507, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.601, scimark_benchmark: 908.0036, usercpu_time_millis: 474470, usercpu_time_millis_testing: 146120, usercpu_time_millis_training: 328350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8496, kappa: 0.8447, kb_relative_information_score: 5519.7413, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 4.7004, recall: 0.8507, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.601, scimark_benchmark: 939.7623, usercpu_time_millis: 451220, usercpu_time_millis_testing: 140600, usercpu_time_millis_training: 310620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8496, kappa: 0.8447, kb_relative_information_score: 5519.7413, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 4.7004, recall: 0.8507, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.601, scimark_benchmark: 911.3823, usercpu_time_millis: 430330, usercpu_time_millis_testing: 133220, usercpu_time_millis_training: 297110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 911.3823, usercpu_time_millis: 3310, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 923.7642, usercpu_time_millis: 2280, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 945.6434, usercpu_time_millis: 2780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 938.2848, usercpu_time_millis: 2980, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 938.4285, usercpu_time_millis: 2420, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9593, kappa: 0.9576, kb_relative_information_score: 7518.6772, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9595, predictive_accuracy: 0.9592, prior_entropy: 4.7004, recall: 0.9592, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.2707, scimark_benchmark: 939.7623, usercpu_time_millis: 4771020, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4770970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9551, kappa: 0.9532, kb_relative_information_score: 7502.727, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9553, predictive_accuracy: 0.955, prior_entropy: 4.7004, recall: 0.955, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.275, scimark_benchmark: 924.6116, usercpu_time_millis: 3903010, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3902950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.943, kappa: 0.9406, kb_relative_information_score: 7427.5262, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9433, predictive_accuracy: 0.9429, prior_entropy: 4.7004, recall: 0.9429, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.058, root_relative_squared_error: 0.3015, scimark_benchmark: 924.6116, usercpu_time_millis: 2084890, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2084830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9272, kappa: 0.9242, kb_relative_information_score: 7295.9457, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9274, predictive_accuracy: 0.9272, prior_entropy: 4.7004, recall: 0.9272, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.3389, scimark_benchmark: 902.4773, usercpu_time_millis: 826920, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 826860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9066, kappa: 0.9029, kb_relative_information_score: 7059.6966, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.907, predictive_accuracy: 0.9066, prior_entropy: 4.7004, recall: 0.9066, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3934, scimark_benchmark: 938.9865, usercpu_time_millis: 349760, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 349710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1421, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 932.3943, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.767, kappa: 0.7571, kb_relative_information_score: 6156.4621, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.769, predictive_accuracy: 0.7664, prior_entropy: 4.7004, recall: 0.7664, relative_absolute_error: 0.3298, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5882, scimark_benchmark: 943.6956, usercpu_time_millis: 78740, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 78150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, build_cpu_time: 298.0915, build_memory: 1199419005.5519, f_measure: 0.8496, kappa: 0.8447, kb_relative_information_score: 5519.7413, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 4.7004, recall: 0.8507, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.601, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, build_cpu_time: 2186.2796, build_memory: 993923708.5535, f_measure: 0.9519, kappa: 0.95, kb_relative_information_score: 7425.2992, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9521, predictive_accuracy: 0.9519, prior_entropy: 4.7004, recall: 0.9519, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.06, root_relative_squared_error: 0.3121, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, build_cpu_time: 967.0795, build_memory: 245239103.2161, f_measure: 0.9444, kappa: 0.9422, kb_relative_information_score: 7386.0688, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9446, predictive_accuracy: 0.9445, prior_entropy: 4.7004, recall: 0.9445, relative_absolute_error: 0.0578, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.3284, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, build_cpu_time: 466.0301, build_memory: 1659870614.9935, f_measure: 0.9322, kappa: 0.9296, kb_relative_information_score: 7310.5629, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9323, predictive_accuracy: 0.9323, prior_entropy: 4.7004, recall: 0.9323, relative_absolute_error: 0.0713, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.3558, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, build_cpu_time: 170.1111, build_memory: 466973842.7754, f_measure: 0.8999, kappa: 0.8957, kb_relative_information_score: 6997.8871, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9011, predictive_accuracy: 0.8997, prior_entropy: 4.7004, recall: 0.8997, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.4559, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, build_cpu_time: 161.7383, build_memory: 413676925.4452, f_measure: 0.8999, kappa: 0.8957, kb_relative_information_score: 6997.8871, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9011, predictive_accuracy: 0.8997, prior_entropy: 4.7004, recall: 0.8997, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.4559, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, build_cpu_time: 1.9381, build_memory: 315598255.1186, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 939.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, build_cpu_time: 1.9123, build_memory: 863591875.8148, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, build_cpu_time: 333.0698, build_memory: 984911749.4924, f_measure: 0.7782, kappa: 0.7676, kb_relative_information_score: 6057.2709, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.783, predictive_accuracy: 0.7766, prior_entropy: 4.7004, recall: 0.7766, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.6386, scimark_benchmark: 931.9838,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs