DEVELOPMENT... OpenML
Run
132428

Run 132428

Task 3011 (Supervised Classification) hypothyroid Uploaded 26-12-2014 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
0.999
Per class
Build CPU time
1.0316
Build memory
1366109407.2513
F measure
0.9945
Per class
Kappa
0.9637
KB relative information score
3080.6936
Mean absolute error
0.0143
Mean prior absolute error
0.0729
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9943
Per class
Predictive accuracy
0.9947
Prior entropy
0.4715
Recall
0.9947
Per class
Relative absolute error
0.1968
Root mean prior squared error
0.1904
Root mean squared error
0.062
Root relative squared error
0.3257
SciMark benchmark
940.5537