Run
138378

Run 138378

Task 2353 (Supervised Classification) meta_batchincremental.arff Uploaded 31-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_REPTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_REPTree(2)_I40
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.7818
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.007
Cross-validation details (33% Holdout set)
Build memory
757696240
Cross-validation details (33% Holdout set)
F measure
0.6274
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2683
Cross-validation details (33% Holdout set)
KB relative information score
-4.1607
Cross-validation details (33% Holdout set)
Mean absolute error
0.2876
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2249
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8205
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5833
Cross-validation details (33% Holdout set)
Prior entropy
1.3842
Cross-validation details (33% Holdout set)
Recall
0.5833
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.2789
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3095
Cross-validation details (33% Holdout set)
Root mean squared error
0.3531
Cross-validation details (33% Holdout set)
Root relative squared error
1.141
Cross-validation details (33% Holdout set)
SciMark benchmark
907.1899