OpenML
79904

Run 79904

Task 2273 (Supervised Classification) meta_batchincremental.arff Uploaded 01-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_RandomTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(2)_I40
weka.Bagging_RandomTree(2)_P100
weka.Bagging_RandomTree(2)_S1
weka.Bagging_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(2)_num-slots1
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_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
0.6915
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.023
Cross-validation details (10-fold Crossvalidation)
Build memory
497468664.2162
Cross-validation details (10-fold Crossvalidation)
F measure
0.5837
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1088
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9.1411
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2137
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2519
Cross-validation details (10-fold Crossvalidation)
Number of instances
74
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
0.5463
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6351
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3842
Cross-validation details (10-fold Crossvalidation)
Recall
0.6351
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8483
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3504
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3443
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9824
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
919.2952