Why does the number of total features (Confirmed + Tentative + Rejected) not equal to the input features?

[abhay0210]

Total number of input feature = 681.
forest = RandomForestClassifier(n_jobs=-1, class_weight='balanced',max_depth=5); feat_selector = BorutaPy(forest, n_estimators='auto', verbose=2, random_state=7242, max_iter = 50, perc = 95); feat_selector.fit(X, y);
Sample output of a 50 iteration run:
.
.
.
Iteration: 47 / 50
Confirmed: 567
Tentative: 79
Rejected: 35
Iteration: 48 / 50
Confirmed: 567
Tentative: 79
Rejected: 35
Iteration: 49 / 50
Confirmed: 568
Tentative: 77
Rejected: 36

BorutaPy finished running.

Iteration: 50 / 50
Confirmed: 568
Tentative: 38
Rejected: 36

Till 49th iteration, Confirmed+ Tentative+ Rejected = 681. But on the final iteration this breaks. The number of tentatives drop drastically. Why is that?