Moravec 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.4766  0.0045  0.0645  0.0676  0.0359  0.04
Anderszewski 2003   37  0.4830  0.0041  0.0636  0.2079  0.0340  0.08
Ashkenazy 1981   67  0.3968  0.0074  0.0462  0.0473  0.0385  0.03
Bacha 2000   46  0.4536  0.0032  0.0635  0.2153  0.0531  0.10
Badura 1965   83  0.3035  0.0057  0.0464  0.0478  0.0382  0.03
Barbosa 1983   38  0.4744  0.0023  0.1027  0.3335  0.2019  0.26
Biret 1990   15  0.5538  0.0016  0.1217  0.4978  0.0423  0.14
Blet 2003   57  0.4281  0.0061  0.0469  0.0484  0.0279  0.03
Block 1995   73  0.3662  0.0075  0.0468  0.0480  0.0383  0.03
Blumental 1952   1  0.661  0.401  0.401  0.763  0.591  0.67
Boshniakovich 1969   69  0.3857  0.0066  0.0379  0.0386  0.0384  0.03
Brailowsky 1960   25  0.5131  0.0030  0.1029  0.2834  0.2817  0.28
Bunin 1987   85  0.2922  0.0084  0.0286  0.0259  0.0486  0.03
Bunin 1987b   86  0.2828  0.0085  0.0373  0.0361  0.0470  0.03
Chiu 1999   49  0.4545  0.0029  0.0640  0.1751  0.0535  0.09
Cohen 1997   70  0.3825  0.0055  0.0555  0.0545  0.0650  0.05
Cortot 1951   58  0.4282  0.0068  0.0372  0.0344  0.0951  0.05
Csalog 1996   22  0.5121  0.0022  0.1023  0.3831  0.2216  0.29
Czerny 1949   27  0.5110  0.0224  0.0919  0.4565  0.0426  0.13
Czerny 1990   2  0.658  0.022  0.212  0.7416  0.488  0.60
Duchoud 2007   84  0.2979  0.0086  0.0380  0.0382  0.0380  0.03
Ezaki 2006   7  0.596  0.0311  0.244  0.6724  0.3810  0.50
Falvay 1989   3  0.623  0.068  0.1512  0.5711  0.519  0.54
Farrell 1958   39  0.4749  0.0028  0.0730  0.2858  0.0625  0.13
Ferenczy 1958   43  0.4640  0.0042  0.0641  0.1449  0.0541  0.08
Fliere 1977   32  0.4927  0.0038  0.0637  0.1972  0.0434  0.09
Fou 1978   30  0.5017  0.0136  0.0638  0.1973  0.0436  0.09
Francois 1956   62  0.4070  0.0060  0.0465  0.0464  0.0464  0.04
Friedman 1923   78  0.3560  0.0078  0.0556  0.0577  0.0466  0.04
Friedman 1923b   79  0.3542  0.0077  0.0559  0.0572  0.0461  0.04
Friedman 1930   68  0.3873  0.0076  0.0466  0.0461  0.0556  0.04
Garcia 2007   45  0.4571  0.0058  0.0370  0.0379  0.0481  0.03
Garcia 2007b   42  0.4756  0.0050  0.0557  0.0564  0.0465  0.04
Gierzod 1998   23  0.5161  0.0033  0.0726  0.3383  0.0332  0.10
Gornostaeva 1994   31  0.5019  0.0134  0.0633  0.2281  0.0343  0.08
Groot 1988   61  0.4063  0.0056  0.0554  0.0584  0.0363  0.04
Harasiewicz 1955   34  0.4941  0.0039  0.0731  0.2585  0.0338  0.09
Hatto 1993   71  0.3843  0.0071  0.0375  0.0385  0.0387  0.03
Hatto 1997   65  0.3986  0.0072  0.0560  0.0575  0.0457  0.04
Horowitz 1949   76  0.3687  0.0079  0.0384  0.0378  0.0472  0.03
Indjic 1988   66  0.3976  0.0073  0.0463  0.0476  0.0378  0.03
Kapell 1951   10  0.5715  0.0115  0.0915  0.5444  0.1120  0.24
Kissin 1993   20  0.5253  0.0025  0.1025  0.3765  0.0428  0.12
Kushner 1989   29  0.5058  0.0043  0.0643  0.1377  0.0346  0.06
Luisada 1991   50  0.4554  0.0053  0.0553  0.0584  0.0352  0.04
Lushtak 2004   53  0.4474  0.0054  0.0649  0.0674  0.0360  0.04
Malcuzynski 1961   19  0.534  0.0513  0.1310  0.6018  0.4012  0.49
Magaloff 1978   13  0.5613  0.0114  0.1216  0.5027  0.2814  0.37
Magin 1975   41  0.4714  0.0131  0.0639  0.1887  0.0245  0.06
Michalowski 1933   77  0.3550  0.0064  0.0382  0.0377  0.0377  0.03
Milkina 1970   12  0.5632  0.0017  0.139  0.6059  0.0522  0.17
Mohovich 1999   33  0.4947  0.0027  0.0628  0.3259  0.0527  0.13
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   72  0.3883  0.0063  0.0381  0.0387  0.0288  0.02
Neighaus 1950   81  0.3284  0.0082  0.0287  0.0285  0.0389  0.02
Niedzielski 1931   11  0.5611  0.027  0.153  0.694  0.537  0.60
Ohlsson 1999   82  0.3167  0.0083  0.0383  0.0374  0.0476  0.03
Osinska 1989   17  0.5437  0.0026  0.0722  0.3882  0.0330  0.11
Pachmann 1927   75  0.3626  0.0081  0.0378  0.0356  0.0475  0.03
Paderewski 1930   74  0.3688  0.0065  0.0377  0.0349  0.0474  0.03
Perlemuter 1992   51  0.4489  0.0059  0.0461  0.0471  0.0367  0.03
Pierdomenico 2008   80  0.3277  0.0080  0.0285  0.0272  0.0469  0.03
Poblocka 1999   35  0.4951  0.0044  0.0744  0.1377  0.0344  0.06
Rabcewiczowa 1932   4  0.6118  0.016  0.1613  0.5711  0.4411  0.50
Rachmaninoff 1923   16  0.5429  0.0012  0.2114  0.5739  0.1715  0.31
Rangell 2001   64  0.4033  0.0067  0.0371  0.0348  0.0662  0.04
Richter 1976   87  0.2764  0.0087  0.0467  0.0487  0.0273  0.03
Rosen 1989   36  0.4852  0.0035  0.0634  0.2162  0.0533  0.10
Rosenthal 1930   8  0.587  0.029  0.167  0.606  0.674  0.63
Rosenthal 1931   6  0.592  0.144  0.256  0.636  0.643  0.63
Rosenthal 1931b   9  0.5812  0.015  0.208  0.608  0.656  0.62
Rosenthal 1931c   5  0.6116  0.013  0.215  0.646  0.662  0.65
Rosenthal 1931d   14  0.5669  0.0010  0.2011  0.597  0.655  0.62
Rossi 2007   21  0.5159  0.0018  0.1321  0.4013  0.4413  0.42
Rubinstein 1939   52  0.4490  0.0048  0.0648  0.0673  0.0353  0.04
Rubinstein 1952   26  0.5123  0.0020  0.1124  0.3843  0.1321  0.22
Rubinstein 1966   48  0.4578  0.0047  0.0550  0.0572  0.0549  0.05
Schilhawsky 1960   56  0.4239  0.0049  0.0647  0.0678  0.0355  0.04
Shebanova 2002   54  0.4448  0.0051  0.0558  0.0581  0.0358  0.04
Smith 1975   24  0.5134  0.0021  0.1020  0.4359  0.0424  0.13
Sokolov 2002   63  0.4020  0.0152  0.0551  0.0586  0.0268  0.03
Sztompka 1959   44  0.4575  0.0046  0.0646  0.0675  0.0448  0.05
Tomsic 1995   60  0.4155  0.0062  0.0376  0.0346  0.0847  0.05
Uninsky 1932   18  0.535  0.0419  0.1118  0.4644  0.1618  0.27
Uninsky 1971   47  0.459  0.0240  0.0642  0.1358  0.0539  0.08
Wasowski 1980   28  0.5046  0.0037  0.0732  0.2465  0.0529  0.11
Zak 1937   55  0.4280  0.0070  0.0552  0.0572  0.0454  0.04
Zak 1951   59  0.4172  0.0069  0.0374  0.0373  0.0471  0.03
Random 1   89  -0.0865  0.0088  0.0288  0.0211  0.4437  0.09
Random 2   88  -0.0424  0.0089  0.0289  0.0215  0.3442  0.08
Random 3   90  -0.1485  0.0090  0.0190  0.0185  0.0290  0.01

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).