Run
576647

Run 576647

Task 32 (Supervised Classification) pendigits Uploaded 01-06-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_Bagging_LWL_DecisionStump(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_Bagging_LWL_DecisionStump(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_Bagging_LWL_DecisionStump(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_Bagging_LWL_DecisionStump(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_LWL_DecisionStump(3)_P100
weka.Bagging_LWL_DecisionStump(3)_S1
weka.Bagging_LWL_DecisionStump(3)_num-slots1
weka.Bagging_LWL_DecisionStump(3)_I10
weka.Bagging_LWL_DecisionStump(3)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(4)_Atrue
weka.LWL_DecisionStump(4)_K-1
weka.LWL_DecisionStump(4)_U0
weka.LWL_DecisionStump(4)_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
0.955
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5803
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5992
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4890.2497
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1394
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
10992
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
0.6752
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6397
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3208
Cross-validation details (10-fold Crossvalidation)
Recall
0.6397
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7745
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2493
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8309
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1598.728
UserCPU time millis
2603170
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
2602800
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
370
Cross-validation details (10-fold Crossvalidation)