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Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wall-robot-navigation
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 5401.3504, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0364, root_relative_squared_error: 0.0894,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 486.8499, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3709,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9885, kappa: 0.9745, kb_relative_information_score: 663.9862, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9886, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.433,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8275, kappa: 0.4359, kb_relative_information_score: 138.3799, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8291, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.338, root_relative_squared_error: 0.8372,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9628, kappa: 0.9395, kb_relative_information_score: 2316.6393, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9629, predictive_accuracy: 0.9627, prior_entropy: 1.4804, recall: 0.9627, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4534,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9459, kappa: 0.94, kb_relative_information_score: 1250.4174, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9463, predictive_accuracy: 0.946, prior_entropy: 3.3218, recall: 0.946, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4757,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set churn
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9535, kappa: 0.8012, kb_relative_information_score: 3143.9023, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9543, predictive_accuracy: 0.9554, prior_entropy: 0.5883, recall: 0.9554, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.5668,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.9278, kappa: 0.2716, kb_relative_information_score: -455.4068, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9334, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.8435,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9914, kappa: 0.9905, kb_relative_information_score: 10725.9343, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9915, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1544,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.991, kappa: 0.99, kb_relative_information_score: 10725.839, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 3.3208, recall: 0.991, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.1553,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9179, kappa: 0.901, kb_relative_information_score: 5576.422, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9182, predictive_accuracy: 0.9201, prior_entropy: 2.4836, recall: 0.9201, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.3964,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9929, kappa: 0.9921, kb_relative_information_score: 10684.5905, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 3.3208, recall: 0.9929, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1582,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.7405, kappa: 0.237, kb_relative_information_score: 88.2957, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7373, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4, root_relative_squared_error: 0.9394,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set PhishingWebsites
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9729, kappa: 0.9452, kb_relative_information_score: 10267.9736, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.2759,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9777, kappa: 0.9756, kb_relative_information_score: 831.4261, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9782, predictive_accuracy: 0.9778, prior_entropy: 3.4594, recall: 0.9778, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.116, root_relative_squared_error: 0.4034,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9834, kappa: 0.8337, kb_relative_information_score: 3135.6839, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9832, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.4772,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9839, kappa: 0.8561, kb_relative_information_score: 2335.4319, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9839, predictive_accuracy: 0.9844, prior_entropy: 0.3333, recall: 0.9844, relative_absolute_error: 0.3053, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.107, root_relative_squared_error: 0.4464,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7562, kappa: 0.4567, kb_relative_information_score: 247.6129, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7553, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8423,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, kappa: 0.7834, kb_relative_information_score: 260.6417, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8832, prior_entropy: 1.3212, recall: 0.8832, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6849,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ilpd
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.6778, kappa: 0.1739, kb_relative_information_score: 66.4983, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6748, predictive_accuracy: 0.7101, prior_entropy: 0.865, recall: 0.7101, relative_absolute_error: 0.8461, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.9264,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.5504, kappa: 0.3016, kb_relative_information_score: 357.7131, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5518, predictive_accuracy: 0.5526, prior_entropy: 1.5392, recall: 0.5526, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.425, root_relative_squared_error: 0.9158,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9706, kappa: 0.9678, kb_relative_information_score: 864.5196, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9708, predictive_accuracy: 0.9707, prior_entropy: 3.4594, recall: 0.9707, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.104, root_relative_squared_error: 0.3617,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Australian
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8593, kappa: 0.7149, kb_relative_information_score: 393.6862, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6528,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, kappa: 0.7745, kb_relative_information_score: 314.8632, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.6351,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wall-robot-navigation
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5273.1519, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.1356,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9768, kappa: 0.9744, kb_relative_information_score: 820.6272, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9771, predictive_accuracy: 0.9768, prior_entropy: 3.4594, recall: 0.9768, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.121, root_relative_squared_error: 0.4208,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9894, kappa: 0.9078, kb_relative_information_score: 3106.6524, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.3333, recall: 0.9894, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.3579,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ilpd
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 58.2769, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.865, recall: 0.7101, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.9227,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9661, kappa: 0.9449, kb_relative_information_score: 2308.5832, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9661, predictive_accuracy: 0.9661, prior_entropy: 1.4804, recall: 0.9661, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4542,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set dresses-sales
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.5815, kappa: 0.1408, kb_relative_information_score: 35.9696, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5894, predictive_accuracy: 0.602, prior_entropy: 0.9816, recall: 0.602, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9785,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set churn
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9496, kappa: 0.7824, kb_relative_information_score: 2854.9719, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9513, predictive_accuracy: 0.9522, prior_entropy: 0.5883, recall: 0.9522, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5917,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9919, kb_relative_information_score: 10710.2519, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 3.3208, recall: 0.9927, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1524,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9669, kappa: 0.9655, kb_relative_information_score: 18408.125, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9671, predictive_accuracy: 0.9669, prior_entropy: 4.6998, recall: 0.9669, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.3258,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9355, kappa: 0.9247, kb_relative_information_score: 2138.5619, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9357, predictive_accuracy: 0.9355, prior_entropy: 2.8074, recall: 0.9355, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.3335,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9916, kappa: 0.9907, kb_relative_information_score: 10730.0988, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9917, predictive_accuracy: 0.9916, prior_entropy: 3.3208, recall: 0.9916, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.1535,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.739, kappa: 0.6612, kb_relative_information_score: 554.2613, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7346, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.6381,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9849, kappa: 0.8499, kb_relative_information_score: 3174.4492, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9848, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.476,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ilpd
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.6611, kappa: 0.1313, kb_relative_information_score: 59.921, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6774, predictive_accuracy: 0.7187, prior_entropy: 0.865, recall: 0.7187, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.923,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 1845.4037, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.2744,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9575, kappa: 0.9107, kb_relative_information_score: 3639.1703, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9577, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4027,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9176, kappa: 0.9005, kb_relative_information_score: 5621.0103, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9176, predictive_accuracy: 0.9196, prior_entropy: 2.4836, recall: 0.9196, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3894,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9778, kappa: 0.9756, kb_relative_information_score: 820.4346, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9782, predictive_accuracy: 0.9778, prior_entropy: 3.4594, recall: 0.9778, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.4194,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9673, kappa: 0.966, kb_relative_information_score: 18557.2961, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9675, predictive_accuracy: 0.9673, prior_entropy: 4.6998, recall: 0.9673, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.3103,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 937.3242, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.9931, recall: 0.9917, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.108, root_relative_squared_error: 0.3269,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.97, kappa: 0.9358, kb_relative_information_score: 489.2927, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3639,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cylinder-bands
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8238, kappa: 0.6368, kb_relative_information_score: 251.4397, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.827, predictive_accuracy: 0.8259, prior_entropy: 0.9826, recall: 0.8259, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7036,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9815, kappa: 0.9794, kb_relative_information_score: 5080.8658, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9815, predictive_accuracy: 0.9815, prior_entropy: 3.3218, recall: 0.9815, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.296,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.7162, kappa: 0.6328, kb_relative_information_score: 549.8041, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7111, predictive_accuracy: 0.7246, prior_entropy: 1.9991, recall: 0.7246, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.275, root_relative_squared_error: 0.6352,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cylinder-bands
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8316, kappa: 0.6531, kb_relative_information_score: 252.9255, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.834, predictive_accuracy: 0.8333, prior_entropy: 0.9826, recall: 0.8333, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.702,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.6763, kappa: 0.5822, kb_relative_information_score: 4435.8696, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6972, predictive_accuracy: 0.6879, prior_entropy: 2.1936, recall: 0.6879, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.7726,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.7492, kappa: 0.2648, kb_relative_information_score: 94.7753, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7462, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.9348,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.6122, kappa: 0.487, kb_relative_information_score: 2659.8701, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6072, predictive_accuracy: 0.6268, prior_entropy: 2.3005, recall: 0.6268, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.8152,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9708, kappa: 0.9678, kb_relative_information_score: 847.5478, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9713, predictive_accuracy: 0.9707, prior_entropy: 3.4594, recall: 0.9707, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.3798,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1314.674, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.1482,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8479, kappa: 0.8317, kb_relative_information_score: 1610.1, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8479, predictive_accuracy: 0.8485, prior_entropy: 3.3219, recall: 0.8485, relative_absolute_error: 0.3252, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.5051,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.98, kappa: 0.9778, kb_relative_information_score: 1811.2058, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 3.3219, recall: 0.98, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.293,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8463, kappa: 0.8294, kb_relative_information_score: 1585.4015, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8468, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.5161,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9669, kappa: 0.928, kb_relative_information_score: 1435.8024, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9682, predictive_accuracy: 0.9664, prior_entropy: 1.2099, recall: 0.9664, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3733,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.8207, kappa: 0.4128, kb_relative_information_score: 134.884, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8216, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.8427,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set climate-model-simulation-crashes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9267, kappa: 0.4708, kb_relative_information_score: 80.0475, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9294, predictive_accuracy: 0.937, prior_entropy: 0.4254, recall: 0.937, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.7885,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9824, kappa: 0.9804, kb_relative_information_score: 5117.9191, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 3.3218, recall: 0.9824, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.2824,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8071, kappa: 0.6112, kb_relative_information_score: 1559.3765, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8071, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7539,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.8489, kappa: 0.8322, kb_relative_information_score: 1602.7473, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8496, predictive_accuracy: 0.849, prior_entropy: 3.3219, recall: 0.849, relative_absolute_error: 0.3312, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.5091,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9398, kappa: 0.9323, kb_relative_information_score: 907.2246, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.94, predictive_accuracy: 0.9398, prior_entropy: 3.1699, recall: 0.9398, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.4057,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9026, kappa: 0.8896, kb_relative_information_score: 949.161, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9044, predictive_accuracy: 0.9019, prior_entropy: 3.1699, recall: 0.9019, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.124, root_relative_squared_error: 0.3947,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9765, kappa: 0.9489, kb_relative_information_score: 1587.2394, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9773, predictive_accuracy: 0.9763, prior_entropy: 1.2099, recall: 0.9763, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.2792,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9646, kappa: 0.9631, kb_relative_information_score: 18141.4594, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9649, predictive_accuracy: 0.9646, prior_entropy: 4.6998, recall: 0.9646, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.351,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9382, kappa: 0.9302, kb_relative_information_score: 936.9552, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9387, predictive_accuracy: 0.938, prior_entropy: 3.1699, recall: 0.938, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.3734,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.96, kappa: 0.9556, kb_relative_information_score: 1550.3987, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9602, predictive_accuracy: 0.96, prior_entropy: 3.3219, recall: 0.96, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4828,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9647, kappa: 0.9242, kb_relative_information_score: 486.9861, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.965, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3595,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9625, kappa: 0.9583, kb_relative_information_score: 1644.4149, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9627, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4177,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.805, kappa: 0.7469, kb_relative_information_score: 1397.5393, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8072, predictive_accuracy: 0.8047, prior_entropy: 2.4138, recall: 0.8047, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.5961,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.7634, kappa: 0.74, kb_relative_information_score: 1451.8794, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7618, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.603,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7422, kappa: 0.3623, kb_relative_information_score: 194.9374, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7474, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8807,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9697, kappa: 0.9667, kb_relative_information_score: 846.8584, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.97, predictive_accuracy: 0.9697, prior_entropy: 3.4594, recall: 0.9697, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.3901,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set qsar-biodeg
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8628, kappa: 0.6903, kb_relative_information_score: 595.6564, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8629, predictive_accuracy: 0.8645, prior_entropy: 0.9226, recall: 0.8645, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6542,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1330.9903, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.1441,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.7729, kappa: 0.7511, kb_relative_information_score: 1437.3601, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7705, predictive_accuracy: 0.776, prior_entropy: 3.3219, recall: 0.776, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.643,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 485.7715, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3774,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9905, kappa: 0.9861, kb_relative_information_score: 702.4165, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.3206,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.897, kappa: 0.487, kb_relative_information_score: 393.978, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8945, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.7616,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9492, kappa: 0.9435, kb_relative_information_score: 1218.1326, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9499, predictive_accuracy: 0.9492, prior_entropy: 3.3218, recall: 0.9492, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4958,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 676.259, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.3558,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.7532, kappa: 0.2762, kb_relative_information_score: 94.2931, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7514, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9268,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.7833, kappa: 0.2347, kb_relative_information_score: 805.767, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7896, predictive_accuracy: 0.8197, prior_entropy: 0.7088, recall: 0.8197, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9203,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 965.0732, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9946, predictive_accuracy: 0.9944, prior_entropy: 2.9931, recall: 0.9944, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.2842,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8446, kappa: 0.8278, kb_relative_information_score: 1621.6013, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.5029,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.7102, kappa: 0.68, kb_relative_information_score: 1485.4786, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7116, predictive_accuracy: 0.712, prior_entropy: 3.3219, recall: 0.712, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.6254,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9274, kappa: 0.2725, kb_relative_information_score: -593.6995, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.93, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8499,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8064, kappa: 0.7489, kb_relative_information_score: 1420.214, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8084, predictive_accuracy: 0.8063, prior_entropy: 2.4138, recall: 0.8063, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.5887,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.7847, kappa: 0.2397, kb_relative_information_score: 784.1868, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7922, predictive_accuracy: 0.821, prior_entropy: 0.7088, recall: 0.821, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9194,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9841, kappa: 0.8415, kb_relative_information_score: 3177.7404, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9839, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.112, root_relative_squared_error: 0.496,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9828, kappa: 0.981, kb_relative_information_score: 5210.8533, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9828, predictive_accuracy: 0.9827, prior_entropy: 3.4594, recall: 0.9827, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.2278,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7848, kappa: 0.2397, kb_relative_information_score: 724.2028, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7925, predictive_accuracy: 0.8212, prior_entropy: 0.7088, recall: 0.8212, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9196,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9366, kappa: 0.9296, kb_relative_information_score: 1326.1769, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9373, predictive_accuracy: 0.9366, prior_entropy: 3.3218, recall: 0.9366, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4247,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9401, kappa: 0.9303, kb_relative_information_score: 2131.8814, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9403, predictive_accuracy: 0.9403, prior_entropy: 2.8074, recall: 0.9403, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.113, root_relative_squared_error: 0.323,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set dna
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9524, kappa: 0.9226, kb_relative_information_score: 2664.3506, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9528, predictive_accuracy: 0.9523, prior_entropy: 1.48, recall: 0.9523, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3808,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Australian
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8607, kappa: 0.7178, kb_relative_information_score: 413.4023, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8607, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6455,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8432, kappa: 0.8267, kb_relative_information_score: 1542.7648, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8434, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5317,
Hilde Weerts 7 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.7692, kappa: 0.7472, kb_relative_information_score: 1418.4597, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7669, predictive_accuracy: 0.7725, prior_entropy: 3.3219, recall: 0.7725, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6168,