Run
145704

Run 145704

Task 3942 (Supervised Classification) tumors_C Uploaded 31-01-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_BFTree(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_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_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
0.5354
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5431
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0378
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-2.4195
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4562
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4565
Cross-validation details (10-fold Crossvalidation)
Number of instances
60
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
0.563
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5333
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9383
Cross-validation details (10-fold Crossvalidation)
Recall
0.5333
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9994
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.477
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6382
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3379
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.2817
UserCPU time millis
11560
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
11560
Cross-validation details (10-fold Crossvalidation)