Sentence examples for number of learning cycles from inspiring English sources

It shows that accuracy is increased in AdaBoost.M2 model when the number of learning cycles increases.

AdaBoost.M2 model is trained with 5000 number of learning cycles and an MLPTPL feature set (Table 3).

Redistribution error is more in 50 and 500 numbers of learning cycles compared to 1000 and 5000 numbers of learning cycles.

Fig. 6 Performance of AdaBoost.M2 model using different numbers of learning cycles.

Performance of redistribution error using different numbers of learning cycles is shown in Fig. 7.

Fig. 7 500 500, 1000, and 5000 numbers of learning cycles in AdaBoost.M2 model vs. redistribution error.

It produces 80%% or more accuracy using 3000 or more numbers of learning cycles.

Redistribution error is decreased when numbers of learning cycles are increased.

Figure 8 represents confusion matrix of AdaBoost.M2 model with MLPTPL feature set and 5000 numbers of learning cycles.

Accuracy of AdaBoost.M2 model is increased when numbers of learning cycles are increased from 50 to 5000.

It is necessary to check the performance of AdaBoost.M2 model with different numbers of learning cycles which is shown in Fig. 6.