DEVELOPMENT... OpenML
Run
132818

Run 132818

Task 3921 (Supervised Classification) jEdit_4.0_4.2 Uploaded 27-12-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_RandomForest(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomForest(2)_I40
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_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.

21 Evaluation measures

Area under ROC curve
0.8207
Per class
Build CPU time
0.0958
Build memory
1983295943.2409
F measure
0.7591
Per class
Kappa
0.5186
KB relative information score
109.8983
Mean absolute error
0.3104
Mean prior absolute error
0.4998
Number of instances
274
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7603
Per class
Predictive accuracy
0.7591
Prior entropy
0.9997
Recall
0.7591
Per class
Relative absolute error
0.6212
Root mean prior squared error
0.4999
Root mean squared error
0.4168
Root relative squared error
0.8338
SciMark benchmark
924.9295