DEVELOPMENT... OpenML
Run
131037

Run 131037

Task 11 (Supervised Classification) balance-scale Uploaded 25-12-2014 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)_I160
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
0.9455
Per class
Build CPU time
0.1469
Build memory
1012511181.5296
F measure
0.8226
Per class
Kappa
0.6798
KB relative information score
355.813
Mean absolute error
0.1468
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8296
Per class
Predictive accuracy
0.816
Prior entropy
1.3212
Recall
0.816
Per class
Relative absolute error
0.3865
Root mean prior squared error
0.4356
Root mean squared error
0.2836
Root relative squared error
0.6511
SciMark benchmark
927.3354