DEVELOPMENT... OpenML
Run
131333

Run 131333

Task 3602 (Supervised Classification) visualizing_environmental Uploaded 25-12-2014 by Felicia West
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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
0.7201
Per class
Build CPU time
0.023
Build memory
966365747.0991
F measure
0.7028
Per class
Kappa
0.4056
KB relative information score
29.3225
Mean absolute error
0.3797
Mean prior absolute error
0.499
Number of instances
111
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.704
Per class
Predictive accuracy
0.7027
Prior entropy
0.9986
Recall
0.7027
Per class
Relative absolute error
0.761
Root mean prior squared error
0.4995
Root mean squared error
0.4746
Root relative squared error
0.9502
SciMark benchmark
892.8005