Run
216246

Run 216246

Task 2355 (Supervised Classification) meta_instanceincremental.arff 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)_I10
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
0.9256
Per class
Cross-validation details (33% Holdout set)
F measure
0.5874
Per class
Cross-validation details (33% Holdout set)
KB relative information score
7.014
Cross-validation details (33% Holdout set)
Mean absolute error
0.184
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2324
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5017
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7083
Cross-validation details (33% Holdout set)
Prior entropy
1.3146
Cross-validation details (33% Holdout set)
Recall
0.7083
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.792
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3388
Cross-validation details (33% Holdout set)
Root mean squared error
0.2843
Cross-validation details (33% Holdout set)
Root relative squared error
0.8392
Cross-validation details (33% Holdout set)
SciMark benchmark
1321.527