Run
217600

Run 217600

Task 3623 (Supervised Classification) meta Uploaded 01-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RandomSubSpace_REPTree(4)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.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0
weka.RandomSubSpace_REPTree(4)_P0.5
weka.RandomSubSpace_REPTree(4)_S1
weka.RandomSubSpace_REPTree(4)_num-slots1
weka.RandomSubSpace_REPTree(4)_I80
weka.RandomSubSpace_REPTree(4)_Wweka.classifiers.trees.REPTree

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
0.7441
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8493
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21.9114
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1697
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1848
Cross-validation details (10-fold Crossvalidation)
Number of instances
528
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
0.8059
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8977
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4808
Cross-validation details (10-fold Crossvalidation)
Recall
0.8977
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.918
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.303
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2829
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9337
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
934.1747
UserCPU time millis
170
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
150
Cross-validation details (10-fold Crossvalidation)