Run
553128

Run 553128

Task 3483 (Supervised Classification) mammography Uploaded 09-04-2016 by Martijn Post
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_15 study_20 weka weka_3.7.13
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_DecisionStump(14)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_DecisionStump(14)_P100
weka.AdaBoostM1_DecisionStump(14)_S1
weka.AdaBoostM1_DecisionStump(14)_I100
weka.AdaBoostM1_DecisionStump(14)_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
0.9309
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9825
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5783
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-657.5386
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0238
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0455
Cross-validation details (10-fold Crossvalidation)
Number of instances
11183
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.9821
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9841
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1598
Cross-validation details (10-fold Crossvalidation)
Recall
0.9841
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.524
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1507
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1131
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7506
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1788.6668
UserCPU time millis
1062.5
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
15.625
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1046.875
Cross-validation details (10-fold Crossvalidation)