Run
51749

Run 51749

Task 13 (Supervised Classification) breast-cancer Uploaded 06-11-2014 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_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I80
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.6761
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
14.9979
Cross-validation details (10-fold Crossvalidation)
Build memory
110470466.1259
Cross-validation details (10-fold Crossvalidation)
F measure
0.7154
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2957
Cross-validation details (10-fold Crossvalidation)
KB relative information score
38.9365
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3477
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4183
Cross-validation details (10-fold Crossvalidation)
Number of instances
286
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
0.7126
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7308
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8796
Cross-validation details (10-fold Crossvalidation)
Recall
0.7308
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8312
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.457
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4437
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9709
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.5683