DEVELOPMENT... OpenML
Run
16674

Run 16674

Task 55 (Supervised Classification) vote Uploaded 04-06-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.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)_I20
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
0.973
Per class
F measure
0.9587
Per class
Kappa
0.9131
KB relative information score
396.2235
Mean absolute error
0.0411
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.959
Per class
Predictive accuracy
0.9586
Prior entropy
0.9627
Recall
0.9586
Per class
Relative absolute error
0.0866
Root mean prior squared error
0.4869
Root mean squared error
0.2019
Root relative squared error
0.4148
SciMark benchmark
939.3605[550.40728600235831013.9200573100866477.0066008765347908.95975824819551746.5088487702178]