DEVELOPMENT... OpenML
Run
19957

Run 19957

Task 58 (Supervised Classification) waveform-5000 Uploaded 18-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomForest(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomForest(1)_C3
weka.MultiBoostAB_RandomForest(1)_I40
weka.MultiBoostAB_RandomForest(1)_P100
weka.MultiBoostAB_RandomForest(1)_S1
weka.MultiBoostAB_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9059
Per class
F measure
0.8541
Per class
Kappa
0.7813
KB relative information score
4000.838
Mean absolute error
0.0974
Mean prior absolute error
0.4444
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8541
Per class
Predictive accuracy
0.8542
Prior entropy
1.5849
Recall
0.8542
Per class
Relative absolute error
0.2192
Root mean prior squared error
0.4714
Root mean squared error
0.3094
Root relative squared error
0.6563
SciMark benchmark
909.8523[558.33565926128391014.9881073746852483.6674820550281913.39368876640651578.8763106875435]