Run
415970

Run 415970

Task 1907 (Supervised Classification) colic Uploaded 07-05-2015 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(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I10
weka.MultiBoostAB_DecisionStump(3)_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
0.854
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8171
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6129
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2167.9763
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1862
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
3680
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
0.822
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8152
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8152
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3995
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4165
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.863
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
941.9549
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)