Run
576566

Run 576566

Task 20 (Supervised Classification) mfeat-pixel 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
0.9594
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7649
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7567
Cross-validation details (10-fold Crossvalidation)
KB relative information score
882.4301
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1415
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.807
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.781
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.781
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7861
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2495
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8318
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1611.8286
UserCPU time millis
142060
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
140110
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1950
Cross-validation details (10-fold Crossvalidation)