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Machine learning and kNN Flashcards | StudBud

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Classifiers are models learned by ...

______ finds hidden patterns or intrinsic structures in data

Machine learning and kNN

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1
______ finds hidden patterns or intrinsic structures in data
Unsupervised learning
Supervised learning
Information integration
Reinforcement learning
2
Classifiers are models learned by ...
Search algorithms
Supervised learning algorithms
Reinforcement learning algorithms
Train-and-test-algorithms
3
Hypothesis space is _____
the space of the generator function
the set of possible machine learning algorithms
the hypothetical space we may learn
the set of possible functions a machine learner may find
4
KNN is not suitable when you have ______
categorical data
less than 100 data points
a regression problem
very many features
5
Machine learning provides __________ to artificial intelligence systems.
reasoning
data
algorithms
knowledge
6
In kNN, for measuring distance with continuous features we use ________
Euclidian distance
Geographical distance
Hamming distance
Statistical distance
7
Vectors are tensors of rank _.
n
2
multiple
1
8
Matrices are a _________ of tensors
application
specialisation
generalisation
attribution
9
The k in k-nearest neighbour is ...
the number of neighbours used to cluster data
the number of features used to compare neighbours
the number of neigbours used for computing output
the number of features used to set the distance
10
Accuracy is the _____________
fraction of positive examples in the test set
fraction of correctly classified input in the test set
fraction of negative examples in the training set
fraction of classified input in the training set