Run
6060517

Run 6060517

Task 2079 (Supervised Classification) eucalyptus Uploaded 03-08-2017 by Miguel Cachada
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RandomSubSpace_J48(1)Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL http://citeseer.ist.psu.edu/ho98random.html.
weka.J48(38)_Otrue
weka.J48(38)_C0.25
weka.J48(38)_M1
weka.RandomSubSpace_J48(1)_P0.8511655840670455
weka.RandomSubSpace_J48(1)_S1
weka.RandomSubSpace_J48(1)_num-slots1
weka.RandomSubSpace_J48(1)_I59
weka.RandomSubSpace_J48(1)_Wweka.classifiers.trees.J48

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
0.8887
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6209
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5165
Cross-validation details (10-fold Crossvalidation)
KB relative information score
389.6187
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1797
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.6257
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6264
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.6264
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5736
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.311
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.786
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1758.5765
UserCPU time millis
650
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
590
Cross-validation details (10-fold Crossvalidation)