Run
5673301

Run 5673301

Task 12 (Supervised Classification) mfeat-factors Uploaded 12-07-2017 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"}], "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_cv3
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_iter3
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)_verbosetrue

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

Area under ROC curve
0.9875
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.886
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8639
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1713.6881
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.032
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9069
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8775
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.8775
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1776
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1138
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3794
Cross-validation details (10-fold Crossvalidation)