Moravec 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.7124  0.0123  0.0817  0.3638  0.1027  0.19
Anderszewski 2003   70  0.3926  0.0152  0.0369  0.0372  0.0370  0.03
Ashkenazy 1981   36  0.5714  0.033  0.1012  0.4629  0.2514  0.34
Bacha 2000   43  0.5573  0.0038  0.0634  0.1535  0.1630  0.15
Badura 1965   56  0.5034  0.0047  0.0448  0.0447  0.0559  0.04
Barbosa 1983   58  0.4984  0.0070  0.0461  0.0464  0.0455  0.04
Biret 1990   21  0.6356  0.0016  0.0816  0.3936  0.1622  0.25
Blet 2003   31  0.5877  0.0063  0.0455  0.0466  0.0456  0.04
Block 1995   57  0.5080  0.0073  0.0453  0.0458  0.0460  0.04
Blumental 1952   63  0.459  0.048  0.0818  0.355  0.4211  0.38
Boshniakovich 1969   64  0.4445  0.0074  0.0375  0.0381  0.0373  0.03
Brailowsky 1960   47  0.5343  0.0056  0.0456  0.0468  0.0451  0.04
Bunin 1987   69  0.4071  0.0082  0.0279  0.0285  0.0287  0.02
Bunin 1987b   68  0.4078  0.0081  0.0284  0.0285  0.0283  0.02
Chiu 1999   66  0.4364  0.0036  0.0632  0.1836  0.1429  0.16
Cohen 1997   79  0.3051  0.0076  0.0377  0.0355  0.0475  0.03
Cortot 1951   16  0.6518  0.0219  0.0815  0.4218  0.407  0.41
Csalog 1996   22  0.6319  0.0126  0.0827  0.2221  0.3817  0.29
Czerny 1949   9  0.706  0.0610  0.102  0.5814  0.423  0.49
Czerny 1990   3  0.7410  0.049  0.081  0.6132  0.2313  0.37
Duchoud 2007   27  0.6070  0.0037  0.0633  0.1860  0.0438  0.08
Ezaki 2006   41  0.5585  0.0051  0.0372  0.0378  0.0363  0.03
Falvay 1989   10  0.6957  0.0020  0.0810  0.4638  0.1324  0.24
Farrell 1958   32  0.5862  0.0062  0.0454  0.0462  0.0453  0.04
Ferenczy 1958   52  0.5235  0.0030  0.0637  0.1359  0.0441  0.07
Fliere 1977   23  0.6263  0.0039  0.0535  0.1473  0.0342  0.06
Fou 1978   65  0.4447  0.0064  0.0457  0.0464  0.0554  0.04
Francois 1956   2  0.7423  0.0111  0.0914  0.4326  0.2316  0.31
Friedman 1923   88  0.0236  0.0089  0.0286  0.0255  0.0681  0.03
Friedman 1923b   87  0.0374  0.0088  0.0288  0.0266  0.0576  0.03
Friedman 1930   82  0.2238  0.0059  0.0547  0.0554  0.0548  0.05
Garcia 2007   83  0.2186  0.0085  0.0289  0.0271  0.0386  0.02
Garcia 2007b   89  -0.0581  0.0086  0.0287  0.0278  0.0389  0.02
Gierzod 1998   7  0.712  0.082  0.083  0.5410  0.355  0.43
Gornostaeva 1994   38  0.5744  0.0060  0.0463  0.0460  0.0461  0.04
Groot 1988   15  0.6672  0.0046  0.0452  0.0476  0.0378  0.03
Harasiewicz 1955   73  0.3729  0.0053  0.0368  0.0373  0.0379  0.03
Hatto 1993   80  0.2859  0.0032  0.0628  0.2141  0.0931  0.14
Hatto 1997   76  0.3452  0.0035  0.0631  0.1950  0.0434  0.09
Horowitz 1949   20  0.647  0.0518  0.0813  0.4522  0.3112  0.37
Indjic 1988   77  0.3140  0.0033  0.0630  0.2036  0.1428  0.17
Kapell 1951   8  0.7022  0.0124  0.1020  0.3531  0.2915  0.32
Kissin 1993   24  0.6282  0.0022  0.0819  0.3538  0.1821  0.25
Kushner 1989   5  0.7111  0.0414  0.159  0.5019  0.336  0.41
Luisada 1991   53  0.5117  0.0215  0.1023  0.3230  0.2418  0.28
Lushtak 2004   67  0.4268  0.0054  0.0465  0.0476  0.0371  0.03
Malcuzynski 1961   13  0.6830  0.0027  0.0726  0.2481  0.0336  0.08
Magaloff 1978   37  0.5769  0.0061  0.0464  0.0468  0.0365  0.03
Magin 1975   72  0.3741  0.0041  0.0541  0.1064  0.0346  0.05
Michalowski 1933   81  0.2631  0.0055  0.0467  0.0445  0.0747  0.05
Milkina 1970   4  0.7113  0.0312  0.1211  0.4621  0.339  0.39
Mohovich 1999   35  0.5765  0.0068  0.0459  0.0486  0.0374  0.03
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   61  0.4715  0.0313  0.0922  0.3320  0.2020  0.26
Neighaus 1950   44  0.5455  0.0042  0.0443  0.0865  0.0445  0.06
Niedzielski 1931   12  0.691  0.091  0.088  0.511  0.611  0.56
Ohlsson 1999   25  0.6121  0.0121  0.0921  0.3529  0.2019  0.26
Osinska 1989   1  0.745  0.067  0.085  0.5314  0.384  0.45
Pachmann 1927   78  0.3054  0.0083  0.0281  0.0281  0.0384  0.02
Paderewski 1930   29  0.5932  0.0031  0.0640  0.1159  0.0343  0.06
Perlemuter 1992   60  0.4737  0.0072  0.0373  0.0381  0.0364  0.03
Pierdomenico 2008   51  0.5228  0.0134  0.0529  0.2130  0.2026  0.20
Poblocka 1999   17  0.6427  0.0125  0.0825  0.2959  0.0433  0.11
Rabcewiczowa 1932   46  0.5349  0.0058  0.0546  0.0562  0.0452  0.04
Rachmaninoff 1923   48  0.5212  0.0417  0.0824  0.3030  0.1923  0.24
Rangell 2001   49  0.5253  0.0065  0.0451  0.0460  0.0462  0.04
Richter 1976   54  0.5087  0.0071  0.0371  0.0352  0.0468  0.03
Rosen 1989   30  0.5875  0.0048  0.0450  0.0464  0.0372  0.03
Rosenthal 1930   39  0.5660  0.0057  0.0460  0.0445  0.0649  0.05
Rosenthal 1931   71  0.3867  0.0079  0.0370  0.0380  0.0285  0.02
Rosenthal 1931b   75  0.3539  0.0078  0.0378  0.0380  0.0288  0.02
Rosenthal 1931c   50  0.5233  0.0069  0.0449  0.0468  0.0380  0.03
Rosenthal 1931d   62  0.4642  0.0075  0.0376  0.0370  0.0377  0.03
Rossi 2007   84  0.1388  0.0080  0.0282  0.0261  0.0382  0.02
Rubinstein 1939   74  0.3525  0.0177  0.0280  0.0234  0.2340  0.07
Rubinstein 1952   26  0.6120  0.0143  0.0442  0.0829  0.2332  0.14
Rubinstein 1966   28  0.5961  0.0066  0.0462  0.0466  0.0457  0.04
Schilhawsky 1960   34  0.5776  0.0045  0.0458  0.0463  0.0458  0.04
Shebanova 2002   11  0.694  0.064  0.094  0.5411  0.492  0.51
Smith 1975   42  0.5583  0.0049  0.0545  0.0584  0.0266  0.03
Sokolov 2002   45  0.5466  0.0028  0.0739  0.1259  0.0439  0.07
Sztompka 1959   40  0.568  0.0529  0.0638  0.1252  0.0637  0.08
Tomsic 1995   33  0.5748  0.0050  0.0466  0.0485  0.0367  0.03
Uninsky 1932   59  0.4846  0.0044  0.0444  0.0859  0.0444  0.06
Uninsky 1971   55  0.5089  0.0067  0.0374  0.0371  0.0369  0.03
Wasowski 1980   19  0.6458  0.0040  0.0736  0.1313  0.3225  0.20
Zak 1937   14  0.663  0.075  0.107  0.5120  0.318  0.40
Zak 1951   18  0.6416  0.026  0.106  0.5127  0.2810  0.38
Random 1   90  -0.2290  0.0090  0.0190  0.0187  0.0290  0.01
Random 2   86  0.0550  0.0084  0.0285  0.029  0.3935  0.09
Random 3   85  0.0579  0.0087  0.0283  0.0234  0.1550  0.05

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).