Run
463586

Run 463586

Task 27 (Supervised Classification) colic Uploaded 09-07-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RandomForest(5)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(5)_I100
weka.RandomForest(5)_K0
weka.RandomForest(5)_S1
weka.RandomForest(5)_num-slots1

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
0.9049
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8537
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6827
Cross-validation details (10-fold Crossvalidation)
KB relative information score
172.4716
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2667
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8555
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.856
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.856
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5721
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3379
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
931.771
UserCPU time millis
410
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
70
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
340
Cross-validation details (10-fold Crossvalidation)