Run
237359

Run 237359

Task 4447 (Supervised Classification) fri_c4_100_10 Uploaded 02-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.BFTree(3)Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.
weka.BFTree(3)_PPOSTPRUNED
weka.BFTree(3)_M2
weka.BFTree(3)_N5
weka.BFTree(3)_Ctrue
weka.BFTree(3)_S1

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
0.7444
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7481
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4944
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
434.1544
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.29
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
0.7481
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.748
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9975
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.748
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5821
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
0.4685
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9386
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
934.1747
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)