Run
278125

Run 278125

Task 4606 (Supervised Classification) jEdit_4.2_4.3 Uploaded 07-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.ExtraTree(1)Pierre Geurts, Damien Ernst, Louis Wehenkel (2006). Extremely randomized trees. Machine Learning. 63(1):3-42.
weka.ExtraTree(1)_K-1
weka.ExtraTree(1)_N-1
weka.ExtraTree(1)_S1

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
0.6097
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6134
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2189
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
787.6089
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.387
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4944
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
3690
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6139
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.613
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.992
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.613
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7827
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4972
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.6221
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.2512
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1334.4761