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Decision trees are well-suited for supervised learning tasks, where the goal is to predict an output variable based on input features. The tree structure allows for easy interpretation of how the input variables are related to the output, making it ideal for classification and regression tasks. K-means Clustering: A clustering technique used in unsupervised learning. PCA: A dimensionality reduction technique, not a supervised learning algorithm. k-Nearest Neighbors (k-NN): While k-NN can be used for supervised learning, decision trees are generally more interpretable. Support Vector Machines (SVM): While SVMs are also used in supervised learning, decision trees offer more visual interpretability.
In controlled atmospheric storage of climacteric fruit which of the following gases are to be controlled
a) Co2
b) O2
What are the ill effects in humans on prolonged exposure to mercury?
Options:
1. Neurological effects
2. Renal problems
3. T...
Proteases are enzymes, which catalyze the hydrolysis of
a) Polypeptides
b) Glycosidic
c) Ester bond
d) Hydrogen bond
...Solar evaporation is the simplest method of evaporating water with solar energy. Which of the following statement about it is incorrect?
α-Amylases is a -
a) Starch-degrading enzymes
b) Cellulose-degrading enzyme
c) Protein- degrading enzyme
d) Glucose-d...
_____ and ______ are additives used as antioxidants to prevent oxidation in oils (Both blanks need to be correct).
Operation in which sterile product filled in pre sterilized packaging material is known as
a) Active packaging
b) Vacuum packaging
...
For tenderization of meat,the enzyme is used:
Acetic acid bacteria are used in the preparation of ______.
Most foods store best at refrigeration temperature. When the relative humidity of air between