Run
2336581

Run 2336581

Task 21 (Supervised Classification) car Uploaded 24-05-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_RandomForest(2)Weka implementation of AttributeSelectedClassifier
weka.RandomForest(12)_P100
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K250
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.AttributeSelectedClassifier_RandomForest(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_RandomForest(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_RandomForest(2)_Wweka.classifiers.trees.RandomForest

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

22 Evaluation measures

Area under ROC curve
0.9888 ± 0.0053
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9419 ± 0.0135
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.873 ± 0.03
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1442.4932 ± 4.2597
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0465 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9433 ± 0.0131
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.941 ± 0.0138
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.941 ± 0.0138
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2031 ± 0.0216
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1532 ± 0.0115
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4532 ± 0.0342
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1680.5319
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)