Run
46374

Run 46374

Task 4382 (Supervised Classification) fri_c1_100_25 Uploaded 01-11-2014 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)_I160
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
0.8279
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
9.9933
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
1292616753.6
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7732
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5457
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
358.4535
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.334
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4982
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7744
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.773
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9975
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.773
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6703
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4991
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4098
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8211
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
928.3063