Run
5967916

Run 5967916

Task 12 (Supervised Classification) mfeat-factors Uploaded 16-07-2017 by Jeroen van Hoof
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Flow

optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.c lasses.SVC)(1)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(9)_C1.0
sklearn.svm.classes.SVC(9)_cache_size200
sklearn.svm.classes.SVC(9)_class_weightnull
sklearn.svm.classes.SVC(9)_coef00.0
sklearn.svm.classes.SVC(9)_decision_function_shapenull
sklearn.svm.classes.SVC(9)_degree3
sklearn.svm.classes.SVC(9)_gamma"auto"
sklearn.svm.classes.SVC(9)_kernel"rbf"
sklearn.svm.classes.SVC(9)_max_iter-1
sklearn.svm.classes.SVC(9)_probabilitytrue
sklearn.svm.classes.SVC(9)_random_state3
sklearn.svm.classes.SVC(9)_shrinkingtrue
sklearn.svm.classes.SVC(9)_tol0.001
sklearn.svm.classes.SVC(9)_verbosefalse
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(1)_draw_samples150
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(1)_encoded_params{"@preprocessor": [{"params": {"copy": true, "with_mean": true, "with_std": true}, "source": "sklearn.preprocessing.data.StandardScaler"}, {"params": {"copy": true, "quantile_range": [25.0, 75.0], "with_centering": true, "with_scaling": true}, "source": "sklearn.preprocessing.data.RobustScaler"}], "C": [0.0009765625, 0.001953125, 0.00390625, 0.0078125, 0.015625, 0.03125, 0.0625, 0.125, 0.25, 0.5, 1.0, 2.0, 4.0, 8.0, 16.0, 32.0, 64.0, 128.0, 256.0, 512.0, 1024.0], "gamma": [0.0009765625, 0.001953125, 0.00390625, 0.0078125, 0.015625, 0.03125, 0.0625, 0.125, 0.25, 0.5, 1.0], "kernel": ["linear", "poly", "rbf"]}
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(1)_inner_cv10
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(1)_max_eval_time120
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(1)_n_iter10
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(1)_random_searchfalse
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(1)_scoring"accuracy"
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(1)_timeout_score0
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(1)_use_ei_per_secondfalse
optimus_ml.optimizer.model_optimizer.ModelOptimizer(estimator=sklearn.svm.classes.SVC)(1)_verbosefalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

0.9991
Per class
Cross-validation details (10-fold Crossvalidation)
0.977
Per class
Cross-validation details (10-fold Crossvalidation)
0.9744
Cross-validation details (10-fold Crossvalidation)
1908.8996
Cross-validation details (10-fold Crossvalidation)
0.0151
Cross-validation details (10-fold Crossvalidation)
0.18
Cross-validation details (10-fold Crossvalidation)
2000
Per class
Cross-validation details (10-fold Crossvalidation)
0.977
Per class
Cross-validation details (10-fold Crossvalidation)
0.977
Cross-validation details (10-fold Crossvalidation)
3.3219
Cross-validation details (10-fold Crossvalidation)
0.977
Per class
Cross-validation details (10-fold Crossvalidation)
0.0836
Cross-validation details (10-fold Crossvalidation)
0.3
Cross-validation details (10-fold Crossvalidation)
0.0634
Cross-validation details (10-fold Crossvalidation)
0.2112
Cross-validation details (10-fold Crossvalidation)