Run
575611

Run 575611

Task 7287 (Supervised Classification) adult Uploaded 01-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_AdaBoostM1_DecisionStump(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_AdaBoostM1_DecisionStump(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_AdaBoostM1_DecisionStump(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_AdaBoostM1_DecisionStump(1)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_DecisionStump(16)_P100
weka.AdaBoostM1_DecisionStump(16)_S1
weka.AdaBoostM1_DecisionStump(16)_I10
weka.AdaBoostM1_DecisionStump(16)_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
0.8526
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
0.0857
Cross-validation details (10-fold Crossvalidation)
F measure
0.8125
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4556
Cross-validation details (10-fold Crossvalidation)
KB relative information score
14761.5462
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2442
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3641
Cross-validation details (10-fold Crossvalidation)
Number of instances
48842
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.8181
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8285
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.8285
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6707
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3506
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8218
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1369.0294
Total cost
4187
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
750
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
690
Cross-validation details (10-fold Crossvalidation)