Run
2335002

Run 2335002

Task 18 (Supervised Classification) mfeat-morphological Uploaded 23-05-2017 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)_K0
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
0.9524 ± 0.0104
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6996 ± 0.0351
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6672 ± 0.0383
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1457.5732 ± 4.5048
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0683 ± 0.0036
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)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.6999 ± 0.0365
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7005 ± 0.0344
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.7005 ± 0.0344
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3793 ± 0.0201
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.202 ± 0.0089
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6733 ± 0.0298
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1813.4621
UserCPU time millis
840
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
160
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
680
Cross-validation details (10-fold Crossvalidation)