y_train = data[0].values X_train = data.drop(0, axis=1).values X_train = pd.DataFrame(np.delete(X_train, -5, axis=1)) features_name = ['a', 'b', 'c'] rf = RandomForestClassifier(n_estimators=200, oob_score=True) rf.fit(X_train, y_train) features_imp = rf.feature_im...
oob_score=True)的一棵树而言，oob概率是37%，但是一共有500颗树，大概率每个样本都会被其中的某一颗...
pl.scatter(x, y, s=1, label="log(x) with noise") pl.plot(np.arange(1, 100), np.log(np.arange(1, 100)), c="b", label="log(x) true function") pl.xlabel("x") pl.ylabel("f(x) = log(x)") pl.legend(loc="best") pl.title("A Basic Log Function") pl.show() 1. 2...
这个控件的功能很简单：提供Header和Content两个属性，在UI上创建两个ContentPresenter并分别绑定到Header和C...
What is in question is not the retrieval of an absolute, fixed or "true" meaning that can be read off and checked for accuracy, or some timeless relationship of the text to the world. (43) ___ Such background material inevitably reflects who we are. (44) ___. This...