Moravec 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.6112  0.0218  0.0725  0.3458  0.0429  0.12
Anderszewski 2003   68  0.4138  0.0059  0.0380  0.0372  0.0372  0.03
Ashkenazy 1981   53  0.4818  0.0130  0.0635  0.2468  0.0344  0.08
Bacha 2000   31  0.5549  0.0015  0.0722  0.3643  0.1420  0.22
Badura 1965   71  0.409  0.0250  0.0365  0.0376  0.0376  0.03
Barbosa 1983   56  0.4554  0.0054  0.0370  0.0368  0.0471  0.03
Biret 1990   8  0.6220  0.006  0.157  0.4943  0.1218  0.24
Blet 2003   39  0.5372  0.0056  0.0374  0.0378  0.0373  0.03
Block 1995   70  0.4081  0.0075  0.0463  0.0487  0.0277  0.03
Blumental 1952   21  0.582  0.182  0.263  0.621  0.503  0.56
Boshniakovich 1969   74  0.3788  0.0084  0.0378  0.0374  0.0378  0.03
Brailowsky 1960   40  0.5373  0.0038  0.0642  0.1864  0.0438  0.08
Bunin 1987   82  0.3048  0.0087  0.0460  0.0484  0.0280  0.03
Bunin 1987b   83  0.2969  0.0086  0.0286  0.0284  0.0287  0.02
Chiu 1999   57  0.4553  0.0034  0.0634  0.2446  0.0726  0.13
Cohen 1997   76  0.3519  0.0070  0.0464  0.0451  0.0557  0.04
Cortot 1951   10  0.6176  0.0017  0.0916  0.4026  0.2912  0.34
Csalog 1996   11  0.6158  0.0012  0.0918  0.399  0.496  0.44
Czerny 1949   14  0.6010  0.0213  0.0711  0.4638  0.1616  0.27
Czerny 1990   1  0.731  0.381  0.371  0.7213  0.472  0.58
Duchoud 2007   55  0.4733  0.0068  0.0462  0.0469  0.0456  0.04
Ezaki 2006   23  0.5714  0.0125  0.0819  0.3957  0.0428  0.12
Falvay 1989   3  0.673  0.054  0.168  0.4914  0.474  0.48
Farrell 1958   29  0.5641  0.0037  0.0732  0.2660  0.0531  0.11
Ferenczy 1958   46  0.5115  0.0120  0.0744  0.1452  0.0541  0.08
Fliere 1977   38  0.5368  0.0048  0.0461  0.0475  0.0361  0.03
Fou 1978   52  0.4870  0.0053  0.0366  0.0377  0.0466  0.03
Francois 1956   6  0.657  0.038  0.1414  0.4132  0.2314  0.31
Friedman 1923   87  0.2086  0.0082  0.0369  0.0355  0.0660  0.04
Friedman 1923b   86  0.2171  0.0081  0.0368  0.0354  0.0658  0.04
Friedman 1930   79  0.3230  0.0074  0.0452  0.0464  0.0555  0.04
Garcia 2007   73  0.3879  0.0076  0.0367  0.0365  0.0475  0.03
Garcia 2007b   85  0.2285  0.0080  0.0450  0.0483  0.0286  0.03
Gierzod 1998   15  0.5975  0.0028  0.0730  0.3263  0.0433  0.11
Gornostaeva 1994   36  0.5427  0.0060  0.0383  0.0375  0.0381  0.03
Groot 1988   35  0.5461  0.0052  0.0375  0.0376  0.0383  0.03
Harasiewicz 1955   69  0.4043  0.0061  0.0376  0.0366  0.0385  0.03
Hatto 1993   84  0.2940  0.0078  0.0457  0.0479  0.0384  0.03
Hatto 1997   78  0.3339  0.0077  0.0372  0.0381  0.0374  0.03
Horowitz 1949   51  0.4832  0.0064  0.0373  0.0382  0.0368  0.03
Indjic 1988   81  0.3251  0.0079  0.0548  0.0584  0.0352  0.04
Kapell 1951   7  0.648  0.0310  0.096  0.5052  0.0523  0.16
Kissin 1993   24  0.5774  0.0035  0.0626  0.3448  0.0625  0.14
Kushner 1989   13  0.6157  0.0031  0.0627  0.3364  0.0432  0.11
Luisada 1991   54  0.4747  0.0029  0.0638  0.2260  0.0436  0.09
Lushtak 2004   63  0.4364  0.0057  0.0382  0.0387  0.0289  0.02
Malcuzynski 1961   17  0.596  0.0314  0.0923  0.3534  0.1519  0.23
Magaloff 1978   22  0.5834  0.0036  0.0721  0.3655  0.0527  0.13
Magin 1975   66  0.4277  0.0055  0.0451  0.0482  0.0365  0.03
Michalowski 1933   77  0.3416  0.0172  0.0454  0.0462  0.0550  0.04
Milkina 1970   4  0.6721  0.005  0.124  0.5542  0.0921  0.22
Mohovich 1999   28  0.5636  0.0044  0.1040  0.2081  0.0343  0.08
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   64  0.4378  0.0032  0.0736  0.2375  0.0340  0.08
Neighaus 1950   62  0.4382  0.0073  0.0549  0.0582  0.0359  0.04
Niedzielski 1931   2  0.675  0.043  0.272  0.631  0.611  0.62
Ohlsson 1999   60  0.4546  0.0069  0.0459  0.0479  0.0370  0.03
Osinska 1989   5  0.6665  0.009  0.089  0.4753  0.0524  0.15
Pachmann 1927   75  0.3560  0.0083  0.0287  0.0273  0.0469  0.03
Paderewski 1930   33  0.5545  0.0043  0.0841  0.2068  0.0339  0.08
Perlemuter 1992   48  0.5066  0.0062  0.0377  0.0382  0.0362  0.03
Pierdomenico 2008   65  0.4262  0.0058  0.0384  0.0361  0.0464  0.03
Poblocka 1999   37  0.5383  0.0047  0.0746  0.0780  0.0348  0.05
Rabcewiczowa 1932   12  0.6128  0.0011  0.1310  0.4632  0.2213  0.32
Rachmaninoff 1923   27  0.564  0.057  0.155  0.5332  0.1715  0.30
Rangell 2001   61  0.4444  0.0071  0.0455  0.0485  0.0382  0.03
Richter 1976   80  0.3250  0.0085  0.0285  0.0283  0.0288  0.02
Rosen 1989   34  0.5587  0.0041  0.0639  0.2185  0.0342  0.08
Rosenthal 1930   16  0.5917  0.0121  0.0613  0.4321  0.3310  0.38
Rosenthal 1931   42  0.5263  0.0023  0.0824  0.3419  0.429  0.38
Rosenthal 1931b   45  0.5159  0.0024  0.1029  0.3315  0.3911  0.36
Rosenthal 1931c   19  0.5926  0.0016  0.0812  0.4412  0.495  0.46
Rosenthal 1931d   26  0.5729  0.0022  0.0817  0.3912  0.467  0.42
Rossi 2007   72  0.3952  0.0042  0.0743  0.1712  0.3917  0.26
Rubinstein 1939   67  0.4131  0.0067  0.0379  0.0337  0.1845  0.07
Rubinstein 1952   20  0.5811  0.0219  0.0815  0.4024  0.388  0.39
Rubinstein 1966   47  0.5135  0.0049  0.0458  0.0478  0.0453  0.04
Schilhawsky 1960   50  0.4956  0.0063  0.0453  0.0475  0.0454  0.04
Shebanova 2002   25  0.5755  0.0026  0.0628  0.3382  0.0335  0.10
Smith 1975   30  0.5523  0.0027  0.0620  0.3773  0.0330  0.11
Sokolov 2002   59  0.4542  0.0066  0.0381  0.0384  0.0363  0.03
Sztompka 1959   44  0.5222  0.0045  0.0647  0.0669  0.0449  0.05
Tomsic 1995   49  0.4990  0.0065  0.0371  0.0368  0.0467  0.03
Uninsky 1932   43  0.5213  0.0146  0.0845  0.0868  0.0446  0.06
Uninsky 1971   58  0.4580  0.0051  0.0456  0.0478  0.0451  0.04
Wasowski 1980   18  0.5937  0.0033  0.0637  0.2232  0.1522  0.18
Zak 1937   32  0.5524  0.0039  0.0731  0.2777  0.0434  0.10
Zak 1951   41  0.5325  0.0040  0.0733  0.2677  0.0337  0.09
Random 1   90  -0.1889  0.0090  0.0190  0.0169  0.0390  0.02
Random 2   89  -0.0867  0.0088  0.0289  0.0234  0.1647  0.06
Random 3   88  -0.0384  0.0089  0.0288  0.0267  0.0479  0.03

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).