Run
576686

Run 576686

Task 26 (Supervised Classification) nursery 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_Bagging_RandomTree(1)Weka implementation of AttributeSelectedClassifier
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.AttributeSelectedClassifier_Bagging_RandomTree(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_Bagging_RandomTree(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_Bagging_RandomTree(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_RandomTree(10)_P100
weka.Bagging_RandomTree(10)_S1
weka.Bagging_RandomTree(10)_num-slots1
weka.Bagging_RandomTree(10)_I10
weka.Bagging_RandomTree(10)_Wweka.classifiers.trees.RandomTree

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
0.9952
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9656
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9501
Cross-validation details (10-fold Crossvalidation)
KB relative information score
11864.5678
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.03
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.273
Cross-validation details (10-fold Crossvalidation)
Number of instances
12960
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
0.9655
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.966
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7176
Cross-validation details (10-fold Crossvalidation)
Recall
0.966
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1099
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3695
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1094
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2962
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1290.531
UserCPU time millis
90
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
70
Cross-validation details (10-fold Crossvalidation)