Run
8885470

Run 8885470

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 14-03-2018 by Leroy Visser
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(scaler2=sklearn.preprocessing.data.MinMaxScaler,e stimator=sklearn.linear_model.stochastic_gradient.SGDClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.MinMaxScaler(3)_copytrue
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range[0, 1]
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_alpha0.0001
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_averagefalse
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_class_weightnull
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_epsilon0.1
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_eta00.0
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_fit_intercepttrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_l1_ratio0.15
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_learning_rate"optimal"
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_loss"modified_huber"
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_max_iternull
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_n_iter5
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_n_jobs1
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_penalty"l1"
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_power_t0.5
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_random_state59324
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_shuffletrue
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_tolnull
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_verbose0
sklearn.linear_model.stochastic_gradient.SGDClassifier(5)_warm_startfalse
sklearn.pipeline.Pipeline(scaler2=sklearn.preprocessing.data.MinMaxScaler,estimator=sklearn.linear_model.stochastic_gradient.SGDClassifier)(1)_memorynull

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.

17 Evaluation measures

Area under ROC curve
0.6372 ± 0.0134
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2216 ± 0.015
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1488 ± 0.0185
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4291.6214 ± 32.4359
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1526 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3155 ± 0.0224
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2337 ± 0.0166
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.2337 ± 0.0166
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8476 ± 0.0151
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3325 ± 0.0081
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1084 ± 0.027
Cross-validation details (10-fold Crossvalidation)