Research Article

The Prediction of Sinter Drums Strength Using Hybrid Machine Learning Algorithms

Table 3

The prediction accuracy of the sinter drum strength.

ScalerMin_maxMax_absRobustQuantileFunction

Linear0.1890.1580.48−0.0810.2270.368
Ridge0.1920.1370.227−0.0750.2380.379
Tree−1.4080.178−0.065−0.465-0.680.252
SVR0.1120.146−1.5860.1080.119−0.184
Kneighbors0.1820.3980.301−0.140.3110.38
RandomForest0.0450.3060.2390.0160.3320.565
AdaBoost0.120.1410.279−0.0770.0850.439
G-boosting−0.0310.2820.404−0.1260.1580.644
Bagging0.0890.3010.316−0.1490.0390.475
ExtraTree−1.1650.242−0.448−0.407−0.4870.532