Run
164402

Run 164402

Task 3866 (Supervised Classification) primary-tumor Uploaded 17-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8875
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8493
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5879
Cross-validation details (10-fold Crossvalidation)
KB relative information score
187.3612
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1509
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3735
Cross-validation details (10-fold Crossvalidation)
Number of instances
339
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
0.8479
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8525
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8101
Cross-validation details (10-fold Crossvalidation)
Recall
0.8525
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4041
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4317
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3611
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8363
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
876.8277
UserCPU time millis
40
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
40
Cross-validation details (10-fold Crossvalidation)