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OpenML
Task
Supervised Classification on fri_c3_1000_10

Supervised Classification on fri_c3_1000_10

Task 3606 Supervised Classification fri_c3_1000_10 393 runs submitted
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Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7419, kappa: 0.4762, kb_relative_information_score: 384.8232, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7419, predictive_accuracy: 0.742, prior_entropy: 0.9896, recall: 0.742, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8659, scimark_benchmark: 1363.454, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.4577, kappa: 0.0513, kb_relative_information_score: 138.2259, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6393, predictive_accuracy: 0.578, prior_entropy: 0.9896, recall: 0.578, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.3087, scimark_benchmark: 1304.9611, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4069, kappa: -0.0004, kb_relative_information_score: 99.4275, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5021, predictive_accuracy: 0.559, prior_entropy: 0.9896, recall: 0.559, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.3378, scimark_benchmark: 1333.5799, usercpu_time_millis: 1050, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, f_measure: 0.659, kappa: 0.3067, kb_relative_information_score: 305.6714, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6586, predictive_accuracy: 0.66, prior_entropy: 0.9896, recall: 0.66, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1747, scimark_benchmark: 1386.5717, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.6649, kappa: 0.3178, kb_relative_information_score: 161.8304, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6648, predictive_accuracy: 0.667, prior_entropy: 0.9896, recall: 0.667, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9283, scimark_benchmark: 1386.5717, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.6684, kappa: 0.3251, kb_relative_information_score: 326.0916, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6681, predictive_accuracy: 0.67, prior_entropy: 0.9896, recall: 0.67, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1573, scimark_benchmark: 942.6843, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7338, kappa: 0.4594, kb_relative_information_score: 259.7098, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7336, predictive_accuracy: 0.734, prior_entropy: 0.9896, recall: 0.734, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8638, scimark_benchmark: 916.6405, usercpu_time_millis: 16920, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 16660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8649, kappa: 0.7259, kb_relative_information_score: 651.0394, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8649, predictive_accuracy: 0.865, prior_entropy: 0.9896, recall: 0.865, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6545, scimark_benchmark: 1372.2145, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9118, kappa: 0.8208, kb_relative_information_score: 677.061, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9896, recall: 0.912, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5363, scimark_benchmark: 1361.1055, usercpu_time_millis: 390, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8491, kappa: 0.6941, kb_relative_information_score: 691.6131, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8493, predictive_accuracy: 0.849, prior_entropy: 0.9896, recall: 0.849, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7828, scimark_benchmark: 1346.9602, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8727, kappa: 0.7412, kb_relative_information_score: 652.8307, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8729, predictive_accuracy: 0.873, prior_entropy: 0.9896, recall: 0.873, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6572, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8711, kappa: 0.7385, kb_relative_information_score: 703.3189, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8712, predictive_accuracy: 0.871, prior_entropy: 0.9896, recall: 0.871, relative_absolute_error: 0.307, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.6735, scimark_benchmark: 1327.6929, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7364, kappa: 0.488, kb_relative_information_score: 464.9489, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.773, predictive_accuracy: 0.738, prior_entropy: 0.9896, recall: 0.738, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0312, scimark_benchmark: 1320.2556, usercpu_time_millis: 180, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.4027, kappa: 0.0142, kb_relative_information_score: -88.4383, mean_absolute_error: 0.533, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5226, predictive_accuracy: 0.467, prior_entropy: 0.9896, recall: 0.467, relative_absolute_error: 1.0815, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7301, root_relative_squared_error: 1.4708, scimark_benchmark: 1319.6463, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8596, kappa: 0.7144, kb_relative_information_score: 663.4602, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9896, recall: 0.86, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6903, scimark_benchmark: 1358.4523, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.7322, kappa: 0.4554, kb_relative_information_score: 454.7388, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.732, predictive_accuracy: 0.733, prior_entropy: 0.9896, recall: 0.733, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.041, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.8313, kappa: 0.6569, kb_relative_information_score: 656.8987, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9896, recall: 0.832, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8257, scimark_benchmark: 1353.5686, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0053, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8799, kappa: 0.7563, kb_relative_information_score: 740.9454, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9896, recall: 0.88, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6552, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6606, kappa: 0.3106, kb_relative_information_score: 186.9693, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6603, predictive_accuracy: 0.661, prior_entropy: 0.9896, recall: 0.661, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9297, scimark_benchmark: 931.2336, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6606, kappa: 0.3106, kb_relative_information_score: 186.9693, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6603, predictive_accuracy: 0.661, prior_entropy: 0.9896, recall: 0.661, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9297, scimark_benchmark: 932.3943, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6606, kappa: 0.3106, kb_relative_information_score: 186.9693, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6603, predictive_accuracy: 0.661, prior_entropy: 0.9896, recall: 0.661, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9297, 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: 0.6973, f_measure: 0.6606, kappa: 0.3106, kb_relative_information_score: 186.9693, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6603, predictive_accuracy: 0.661, prior_entropy: 0.9896, recall: 0.661, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9297, scimark_benchmark: 923.7642, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6606, kappa: 0.3106, kb_relative_information_score: 186.9693, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6603, predictive_accuracy: 0.661, prior_entropy: 0.9896, recall: 0.661, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9297, 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: 0.9543, f_measure: 0.8859, kappa: 0.7682, kb_relative_information_score: 746.0791, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8859, predictive_accuracy: 0.886, prior_entropy: 0.9896, recall: 0.886, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6239, scimark_benchmark: 936.6206, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8668, kappa: 0.7295, kb_relative_information_score: 705.6044, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8668, predictive_accuracy: 0.867, prior_entropy: 0.9896, recall: 0.867, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6686, scimark_benchmark: 943.2817, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8302, kappa: 0.6545, kb_relative_information_score: 644.0668, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.831, predictive_accuracy: 0.831, prior_entropy: 0.9896, recall: 0.831, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7249, scimark_benchmark: 942.1229, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7956, kappa: 0.5877, kb_relative_information_score: 543.9379, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7984, predictive_accuracy: 0.795, prior_entropy: 0.9896, recall: 0.795, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8216, scimark_benchmark: 922.9039, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7413, kappa: 0.4742, kb_relative_information_score: 435.2649, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7412, predictive_accuracy: 0.742, prior_entropy: 0.9896, recall: 0.742, relative_absolute_error: 0.5697, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.91, scimark_benchmark: 938.4285, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9039, kappa: 0.8047, kb_relative_information_score: 746.011, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.9039, predictive_accuracy: 0.904, prior_entropy: 0.9896, recall: 0.904, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.541, scimark_benchmark: 936.6206, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8739, kappa: 0.7439, kb_relative_information_score: 616.6723, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8739, predictive_accuracy: 0.874, prior_entropy: 0.9896, recall: 0.874, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.6013, scimark_benchmark: 947.9494, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8516, kappa: 0.6982, kb_relative_information_score: 521.7922, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9896, recall: 0.852, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6719, scimark_benchmark: 929.566, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0053, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.5956, kappa: 0.2401, kb_relative_information_score: 123.8853, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6528, predictive_accuracy: 0.605, prior_entropy: 0.9896, recall: 0.605, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9621, scimark_benchmark: 943.2745, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8526, kappa: 0.7003, kb_relative_information_score: 558.4973, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8528, predictive_accuracy: 0.853, prior_entropy: 0.9896, recall: 0.853, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.664, scimark_benchmark: 933.8635, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.897, kappa: 0.7911, kb_relative_information_score: 704.1988, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8971, predictive_accuracy: 0.897, prior_entropy: 0.9896, recall: 0.897, relative_absolute_error: 0.3135, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5604, scimark_benchmark: 902.4773, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0053, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8516, kappa: 0.6982, kb_relative_information_score: 520.2516, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9896, recall: 0.852, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6727, scimark_benchmark: 911.0478, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 101.4695, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8799, kappa: 0.7563, kb_relative_information_score: 740.9454, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9896, recall: 0.88, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6552, scimark_benchmark: 904.3001, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8887, kappa: 0.7737, kb_relative_information_score: 476.0697, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8891, predictive_accuracy: 0.889, prior_entropy: 0.9896, recall: 0.889, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6655, scimark_benchmark: 918.4924, usercpu_time_millis: 2220, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7118, kappa: 0.4131, kb_relative_information_score: 180.3564, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.7126, predictive_accuracy: 0.714, prior_entropy: 0.9896, recall: 0.714, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8899, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4069, kappa: -0.0004, kb_relative_information_score: 99.4275, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5021, predictive_accuracy: 0.559, prior_entropy: 0.9896, recall: 0.559, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.3378, scimark_benchmark: 942.1229, usercpu_time_millis: 1210, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8241, kappa: 0.6432, kb_relative_information_score: 578.3706, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8242, predictive_accuracy: 0.824, prior_entropy: 0.9896, recall: 0.824, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6812, scimark_benchmark: 932.3943, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.9128, kappa: 0.8228, kb_relative_information_score: 822.9307, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.9131, predictive_accuracy: 0.913, prior_entropy: 0.9896, recall: 0.913, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5885, scimark_benchmark: 943.6956, usercpu_time_millis: 3380, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9138, kappa: 0.8247, kb_relative_information_score: 823.4306, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.9142, predictive_accuracy: 0.914, prior_entropy: 0.9896, recall: 0.914, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.5891, scimark_benchmark: 831.3777, usercpu_time_millis: 7930, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 7690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8988, kappa: 0.7942, kb_relative_information_score: 773.8979, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8991, predictive_accuracy: 0.899, prior_entropy: 0.9896, recall: 0.899, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5773, scimark_benchmark: 935.8986, usercpu_time_millis: 640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8538, kappa: 0.7032, kb_relative_information_score: 620.3221, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9896, recall: 0.854, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6345, scimark_benchmark: 904.3001, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4069, kappa: -0.0004, kb_relative_information_score: 99.4275, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.5021, predictive_accuracy: 0.559, prior_entropy: 0.9896, recall: 0.559, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.3378, scimark_benchmark: 943.6956, usercpu_time_millis: 1120, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6483, kappa: 0.2844, kb_relative_information_score: 295.4613, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4928, number_of_instances: 1000, precision: 0.6523, predictive_accuracy: 0.655, prior_entropy: 0.9896, recall: 0.655, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5874, root_relative_squared_error: 1.1833, scimark_benchmark: 799.2185, usercpu_time_millis: 60, usercpu_time_millis_training: 60,

    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

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