User MikeHuber

7

19

votes

3

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19k

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Why does gap statistic for k-means suggest one cluster, even though there are obviously two of them?

r machine-learning clustering k-means

Oct 10 '18 at 19:51 gung - Reinstate Monica♦ 117k

2

8

votes

3

answers

2k

views

Sequential pattern mining on single sequence

machine-learning unsupervised-learning sequence-analysis

May 6 '18 at 5:56 inf3rno 161

5

7

votes

2

answers

7k

views

Feature selection for time series data

time-series feature-selection cross-correlation

Oct 27 '16 at 14:27 MaxBenChrist 661

4

6

votes

1

answer

464

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Interpret predictions of black box models

machine-learning interpretation prediction

Mar 27 '17 at 12:36 Hugh Perkins 3,584

2

5

votes

2

answers

5k

views

Why can't my (auto.)arima-model forecast my time series?

r time-series forecasting arima

Sep 24 '18 at 17:20 Nickkon 61

4

votes

1

answer

393

views

Combining classification and anomaly detection

machine-learning classification anomaly-detection

Jan 13 at 18:01 Community♦ 1

2

4

votes

1

answer

129

views

Correlated time series at different aggregation levels

time-series aggregation

Mar 6 '17 at 13:54 mic 3,015

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4

votes

2

answers

4k

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auto.arima: why forecast converges to mean after some periods?

r forecasting arima

Sep 22 '15 at 10:29 Community♦ 1

2

4

votes

1

answer

3k

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RandomForest MeanDecreaseAccuracy interpretation

r random-forest accuracy importance

Jul 31 '15 at 12:35 Soren Havelund Welling 5,536

4

votes

1

answer

635

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Calculate correlation between events and signals in time series

time-series cross-correlation rare-events

May 18 '15 at 17:00 Tom Reilly 1,579

3

votes

3

answers

464

views

Find outliers in time series with unknown distributions

r time-series outliers

Jul 6 at 22:19 Michael Lew 8,696

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0

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973

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Random Forest online/incremental learning in R

r machine-learning random-forest train

May 7 at 15:31 Ferdi 4,411

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votes

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13k

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ARIMA: How to interpret MAPE?

forecasting arima accuracy mase

Apr 30 at 2:09 Glorfindel 558

2

votes

2

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40

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Estimating effect of linear regression coefficients with multicollinearity

regression regression-coefficients multicollinearity

Apr 16 at 23:04 Sympa 5,880

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votes

0

answers

955

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Multiple Correlation Coefficient for Time Series?

time-series correlation

Oct 4 '18 at 10:10 kjetil b halvorsen 41.8k

1

2

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0

answers

174

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Predict rare events based on many continuous time series variables

prediction rare-events

Feb 3 '17 at 22:02 MikeHuber 1,001

1

vote

1

answer

338

views

Detecting unsupervised anomalies in time series considering time range

time-series outliers anomaly-detection

Nov 19 at 7:02 Community♦ 1

1

vote

0

answers

41

views

Prediction model with lagged target variable as input

regression prediction lags metric

Jul 30 at 19:37 MikeHuber 1,001

1

vote

0

answers

2k

views

Creating regular time series from irregular time series (with data changes only)

time-series interpolation unevenly-spaced-time-series

Jul 21 at 11:41 kjetil b halvorsen 41.8k

1

vote

2

answers

45

views

How many classes for regression problem?

regression classification

Feb 23 '19 at 15:55 The Laconic 1,323

1

vote

0

answers

94

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Prediction of noisy target variable

regression noise

Feb 23 '19 at 8:55 MikeHuber 1,001

1

vote

0

answers

188

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Prediction with variable lag

machine-learning prediction lags

Aug 11 '17 at 13:04 Richard Hardy 35.9k

1

vote

0

answers

840

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Statistical tests for time series

time-series statistical-significance t-test

Jun 23 '17 at 8:48 MikeHuber 1,001

1

vote

0

answers

35

views

Predictions in a control loop like airconditions

endogeneity linear-dynamical-system

Apr 13 '17 at 21:46 gung - Reinstate Monica♦ 117k

1

vote

0

answers

3k

views

Why is linear regression a convex optimization problem? [duplicate]

regression optimization proof convex

Mar 8 '16 at 14:50 MikeHuber 1,001

1

vote

1

answer

1k

views

ARIMA: extract date/time information from ARIMA model

r time-series forecasting arima

Sep 22 '15 at 12:12 Richard Hardy 35.9k

1

0

votes

1

answer

181

views

Bounded Anomaly Score between 0 and 1

outliers normalization standardization anomaly-detection z-score

Dec 31 at 22:02 Community♦ 1

1

0

votes

1

answer

70

views

Decting new classes (open world classification)

classification anomaly-detection

Jun 10 at 7:50 Sudhanshu Mishra 1

0

votes

0

answers

57

views

Noise reduction with known noise distribution

kalman-filter noise filter

Feb 23 '19 at 17:35 MikeHuber 1,001

1

0

votes

0

answers

53

views

Feature Selection with interactions in high dimensions

feature-selection large-data high-dimensional

Feb 23 '19 at 9:04 MikeHuber 1,001

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37 Questions

Why does gap statistic for k-means suggest one cluster, even though there are obviously two of them?

Sequential pattern mining on single sequence

Feature selection for time series data

Interpret predictions of black box models

Why can't my (auto.)arima-model forecast my time series?

Combining classification and anomaly detection

Correlated time series at different aggregation levels

auto.arima: why forecast converges to mean after some periods?

RandomForest MeanDecreaseAccuracy interpretation

Calculate correlation between events and signals in time series

Find outliers in time series with unknown distributions

Random Forest online/incremental learning in R

ARIMA: How to interpret MAPE?

Estimating effect of linear regression coefficients with multicollinearity

Multiple Correlation Coefficient for Time Series?

Predict rare events based on many continuous time series variables

Detecting unsupervised anomalies in time series considering time range

Prediction model with lagged target variable as input

Creating regular time series from irregular time series (with data changes only)

How many classes for regression problem?

Prediction of noisy target variable

Prediction with variable lag

Statistical tests for time series

Predictions in a control loop like airconditions

Why is linear regression a convex optimization problem? [duplicate]

ARIMA: extract date/time information from ARIMA model

Bounded Anomaly Score between 0 and 1

Decting new classes (open world classification)

Noise reduction with known noise distribution

Feature Selection with interactions in high dimensions