Run
104016

Run 104016

Task 3539 (Supervised Classification) prnn_crabs Uploaded 08-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RandomForest(2)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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.

21 Evaluation measures

Area under ROC curve
0.9744
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0413
Cross-validation details (10-fold Crossvalidation)
Build memory
1401306233.6
Cross-validation details (10-fold Crossvalidation)
F measure
0.955
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.91
Cross-validation details (10-fold Crossvalidation)
KB relative information score
144.8751
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1575
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
200
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.955
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.955
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.955
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3149
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2346
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4692
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
915.0385