OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13043 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML100 study_107 study_123 study_14 study_50 study_7
Issue #Downvotes for this reason By


Metric:

13043 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, kappa: 0.5196, kb_relative_information_score: 644.0667, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5244, prior_entropy: 6.6439, recall: 0.5244, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.094, root_relative_squared_error: 0.9451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8473, kappa: 0.846, kb_relative_information_score: 1355.4675, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8518, predictive_accuracy: 0.8475, prior_entropy: 6.6439, recall: 0.8475, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.5551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, kappa: 0.2109, kb_relative_information_score: 87.1905, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2188, prior_entropy: 6.6439, recall: 0.2188, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8468, kappa: 0.8453, kb_relative_information_score: 1354.4653, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8515, predictive_accuracy: 0.8469, prior_entropy: 6.6439, recall: 0.8469, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, kappa: 0.3984, kb_relative_information_score: 0.0735, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4044, prior_entropy: 6.6439, recall: 0.4044, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8087, kappa: 0.8068, kb_relative_information_score: 1293.3322, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8184, predictive_accuracy: 0.8088, prior_entropy: 6.6439, recall: 0.8088, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0618, root_relative_squared_error: 0.6216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.5498, kappa: 0.5682, kb_relative_information_score: 1071.5516, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5686, predictive_accuracy: 0.5725, prior_entropy: 6.6439, recall: 0.5725, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.7867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.4436, kappa: 0.3359, kb_relative_information_score: 545.7041, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7643, predictive_accuracy: 0.3425, prior_entropy: 6.6439, recall: 0.3425, relative_absolute_error: 0.6641, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1147, root_relative_squared_error: 1.1525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.6235, kappa: 0.5915, kb_relative_information_score: 1045.6973, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7073, predictive_accuracy: 0.5956, prior_entropy: 6.6439, recall: 0.5956, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.7672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.6656, kappa: 0.685, kb_relative_information_score: 934.421, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7003, predictive_accuracy: 0.6881, prior_entropy: 6.6439, recall: 0.6881, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.3154, kappa: 0.2197, kb_relative_information_score: 361.3026, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7222, predictive_accuracy: 0.2275, prior_entropy: 6.6439, recall: 0.2275, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1243, root_relative_squared_error: 1.2492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5612, kappa: 0.1225, kb_relative_information_score: 206.9665, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1313, prior_entropy: 6.6439, recall: 0.1313, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1318, root_relative_squared_error: 1.3248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.6813, kappa: 0.6812, kb_relative_information_score: 1158.953, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6893, predictive_accuracy: 0.6844, prior_entropy: 6.6439, recall: 0.6844, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.7273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, kappa: 0.0511, kb_relative_information_score: 93.7198, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0606, prior_entropy: 6.6439, recall: 0.0606, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1371, root_relative_squared_error: 1.3776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3117, kappa: -0.0101, kb_relative_information_score: 13.7557, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, kappa: 0.0025, kb_relative_information_score: 59.1338, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.53, kappa: 0.5505, kb_relative_information_score: 1023.8738, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5489, predictive_accuracy: 0.555, prior_entropy: 6.6439, recall: 0.555, relative_absolute_error: 0.7516, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.8191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, kappa: 0.0215, kb_relative_information_score: 41.7529, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0313, prior_entropy: 6.6439, recall: 0.0313, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.7852, kappa: 0.7841, kb_relative_information_score: 1350.86, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7905, predictive_accuracy: 0.7863, prior_entropy: 6.6439, recall: 0.7863, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3834, kappa: -0.0076, kb_relative_information_score: 26.9618, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0025, prior_entropy: 6.6439, recall: 0.0025, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.7955, kappa: 0.7904, kb_relative_information_score: 976.2867, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8045, predictive_accuracy: 0.7925, prior_entropy: 6.6439, recall: 0.7925, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.8378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, kappa: 0.0025, kb_relative_information_score: 35.3418, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3554, kappa: -0.0057, kb_relative_information_score: 5.1469, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0044, prior_entropy: 6.6439, recall: 0.0044, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, kappa: 0.0745, kb_relative_information_score: 52.9629, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0838, prior_entropy: 6.6439, recall: 0.0838, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7981, kappa: 0.8024, kb_relative_information_score: 1147.8001, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8072, predictive_accuracy: 0.8044, prior_entropy: 6.6439, recall: 0.8044, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.7896, kappa: 0.7872, kb_relative_information_score: 0.1823, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8018, predictive_accuracy: 0.7894, prior_entropy: 6.6439, recall: 0.7894, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7996, kappa: 0.7942, kb_relative_information_score: 965.7659, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8124, predictive_accuracy: 0.7963, prior_entropy: 6.6439, recall: 0.7963, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.8299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.4729, kappa: 0.4571, kb_relative_information_score: 762.9094, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6108, predictive_accuracy: 0.4625, prior_entropy: 6.6439, recall: 0.4625, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.6858, kappa: 0.6124, kb_relative_information_score: 984.66, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8094, predictive_accuracy: 0.6163, prior_entropy: 6.6439, recall: 0.6163, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.8805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.6982, kappa: 0.7146, kb_relative_information_score: 995.9093, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7323, predictive_accuracy: 0.7175, prior_entropy: 6.6439, recall: 0.7175, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6403, kappa: 0.0808, kb_relative_information_score: 73.9438, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.09, prior_entropy: 6.6439, recall: 0.09, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.4703, kappa: 0.4861, kb_relative_information_score: 1018.6509, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4885, predictive_accuracy: 0.4913, prior_entropy: 6.6439, recall: 0.4913, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, kappa: 0.1067, kb_relative_information_score: 138.055, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1156, prior_entropy: 6.6439, recall: 0.1156, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4582, kappa: 0.0025, kb_relative_information_score: 40.6345, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8387, kappa: 0.8371, kb_relative_information_score: 1341.4369, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8452, predictive_accuracy: 0.8388, prior_entropy: 6.6439, recall: 0.8388, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.5708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8152, kappa: 0.8106, kb_relative_information_score: 982.5674, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8237, predictive_accuracy: 0.8125, prior_entropy: 6.6439, recall: 0.8125, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, kappa: 0.1439, kb_relative_information_score: 298.8652, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1525, prior_entropy: 6.6439, recall: 0.1525, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, kappa: 0.2342, kb_relative_information_score: 539.1805, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2419, prior_entropy: 6.6439, recall: 0.2419, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.9498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.7974, kappa: 0.7992, kb_relative_information_score: 1178.0426, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8059, predictive_accuracy: 0.8013, prior_entropy: 6.6439, recall: 0.8013, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.5452, kappa: 0.4419, kb_relative_information_score: 714.0708, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7872, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1051, root_relative_squared_error: 1.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5492, kappa: 0.0985, kb_relative_information_score: 168.8835, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1075, prior_entropy: 6.6439, recall: 0.1075, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1336, root_relative_squared_error: 1.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.806, kappa: 0.8131, kb_relative_information_score: 1112.9958, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8186, predictive_accuracy: 0.815, prior_entropy: 6.6439, recall: 0.815, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.7607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.7649, kappa: 0.7607, kb_relative_information_score: 1220.1729, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7809, predictive_accuracy: 0.7631, prior_entropy: 6.6439, recall: 0.7631, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.6918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.6772, kappa: 0.6016, kb_relative_information_score: 967.6229, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8074, predictive_accuracy: 0.6056, prior_entropy: 6.6439, recall: 0.6056, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, kappa: 0.2973, kb_relative_information_score: 0.0742, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3044, prior_entropy: 6.6439, recall: 0.3044, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8444, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8495, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.5975, kappa: 0.5795, kb_relative_information_score: 988.7512, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6872, predictive_accuracy: 0.5838, prior_entropy: 6.6439, recall: 0.5838, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8283,

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