Run
530913

Run 530913

Task 3654 (Supervised Classification) fri_c1_100_10 Uploaded 04-03-2016 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.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_RandomForest(3)Weka implementation of AttributeSelectedClassifier
weka.RandomForest(9)_I100
weka.RandomForest(9)_K0
weka.RandomForest(9)_S1
weka.RandomForest(9)_num-slots1
weka.CfsSubsetEval(5)_P1
weka.CfsSubsetEval(5)_E1
weka.BestFirst(4)_D1
weka.BestFirst(4)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_RandomForest(3)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_RandomForest(3)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_RandomForest(3)_Wweka.classifiers.trees.RandomForest

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
0.8788
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8002
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5995
Cross-validation details (10-fold Crossvalidation)
KB relative information score
56.8907
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2185
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4982
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 7, 6.1]
Precision
0.801
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9975
Cross-validation details (10-fold Crossvalidation)
Recall
0.8
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4385
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4991
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3881
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7776
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1838.8826
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)