Moravec 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   74  0.3359  0.0076  0.0375  0.0372  0.0481  0.03
Anderszewski 2003   12  0.5624  0.019  0.106  0.6522  0.495  0.56
Ashkenazy 1981   75  0.3284  0.0080  0.0473  0.0481  0.0383  0.03
Bacha 2000   70  0.3539  0.0061  0.0564  0.0583  0.0369  0.04
Badura 1965   79  0.2965  0.0077  0.0474  0.0481  0.0382  0.03
Barbosa 1983   3  0.604  0.063  0.228  0.5918  0.516  0.55
Biret 1990   43  0.4740  0.0040  0.0737  0.1945  0.0850  0.12
Blet 2003   64  0.3871  0.0066  0.0565  0.0548  0.0664  0.05
Block 1995   31  0.4925  0.0025  0.0724  0.4018  0.4821  0.44
Blumental 1952   5  0.583  0.105  0.324  0.676  0.711  0.69
Boshniakovich 1969   35  0.476  0.0220  0.1025  0.3928  0.2927  0.34
Brailowsky 1960   13  0.5426  0.0015  0.0822  0.4222  0.4916  0.45
Bunin 1987   53  0.4377  0.0056  0.0657  0.0630  0.2154  0.11
Bunin 1987b   55  0.4285  0.0058  0.0753  0.0727  0.2948  0.14
Chiu 1999   61  0.4021  0.0137  0.0545  0.1227  0.2540  0.17
Cohen 1997   68  0.3628  0.0065  0.0566  0.0563  0.0475  0.04
Cortot 1951   84  0.2386  0.0085  0.0290  0.0267  0.0389  0.02
Csalog 1996   34  0.4835  0.0042  0.0735  0.2030  0.2733  0.23
Czerny 1949   36  0.4730  0.0036  0.0543  0.1542  0.1645  0.15
Czerny 1990   7  0.5732  0.008  0.115  0.6628  0.544  0.60
Duchoud 2007   86  0.1978  0.0088  0.0287  0.0279  0.0287  0.02
Ezaki 2006   4  0.608  0.024  0.253  0.737  0.612  0.67
Falvay 1989   2  0.652  0.202  0.292  0.7419  0.573  0.65
Farrell 1958   59  0.4169  0.0062  0.0567  0.0558  0.0563  0.05
Ferenczy 1958   33  0.4917  0.0141  0.0732  0.2412  0.6025  0.38
Fliere 1977   10  0.5748  0.006  0.127  0.6131  0.3810  0.48
Fou 1978   40  0.4751  0.0038  0.0644  0.1448  0.0656  0.09
Francois 1956   85  0.2062  0.0083  0.0286  0.0280  0.0390  0.02
Friedman 1923   83  0.2427  0.0078  0.0382  0.0377  0.0485  0.03
Friedman 1923b   82  0.2443  0.0079  0.0378  0.0368  0.0484  0.03
Friedman 1930   80  0.2760  0.0074  0.0376  0.0371  0.0480  0.03
Garcia 2007   71  0.3579  0.0072  0.0468  0.0450  0.0574  0.04
Garcia 2007b   54  0.4380  0.0060  0.0946  0.0965  0.0558  0.07
Gierzod 1998   11  0.5646  0.0017  0.0715  0.5145  0.1631  0.29
Gornostaeva 1994   27  0.5016  0.0128  0.0729  0.3527  0.3726  0.36
Groot 1988   50  0.4470  0.0050  0.0655  0.0669  0.0467  0.05
Harasiewicz 1955   9  0.5711  0.0112  0.0810  0.5735  0.4011  0.48
Hatto 1993   23  0.5131  0.0019  0.0916  0.5026  0.4120  0.45
Hatto 1997   24  0.5158  0.0021  0.1314  0.5129  0.3917  0.45
Horowitz 1949   69  0.3649  0.0070  0.0469  0.0426  0.3151  0.11
Indjic 1988   28  0.5087  0.0022  0.1020  0.4727  0.3722  0.42
Kapell 1951   8  0.5729  0.0014  0.0712  0.5129  0.4313  0.47
Kissin 1993   25  0.5015  0.0145  0.0842  0.1539  0.3335  0.22
Kushner 1989   14  0.5353  0.0030  0.0827  0.3849  0.0743  0.16
Luisada 1991   46  0.4654  0.0055  0.0656  0.0634  0.2449  0.12
Lushtak 2004   30  0.4947  0.0043  0.0638  0.1845  0.1246  0.15
Malcuzynski 1961   20  0.525  0.047  0.139  0.5923  0.458  0.52
Magaloff 1978   15  0.5310  0.0131  0.0731  0.2731  0.3430  0.30
Magin 1975   42  0.4744  0.0034  0.0540  0.1738  0.1841  0.17
Michalowski 1933   87  0.1663  0.0087  0.0381  0.0372  0.0379  0.03
Milkina 1970   16  0.5320  0.0123  0.1321  0.4645  0.1134  0.22
Mohovich 1999   17  0.5322  0.0113  0.0813  0.5128  0.3919  0.45
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   63  0.3872  0.0067  0.0471  0.0454  0.0665  0.05
Neighaus 1950   81  0.2681  0.0082  0.0284  0.0285  0.0288  0.02
Niedzielski 1931   73  0.3473  0.0057  0.0660  0.0621  0.3547  0.14
Ohlsson 1999   72  0.3588  0.0075  0.0377  0.0374  0.0378  0.03
Osinska 1989   19  0.5233  0.0032  0.0730  0.3145  0.1238  0.19
Pachmann 1927   76  0.3113  0.0164  0.0563  0.0537  0.2352  0.11
Paderewski 1930   88  0.1589  0.0084  0.0283  0.0272  0.0386  0.02
Perlemuter 1992   66  0.3756  0.0073  0.0379  0.0348  0.0670  0.04
Pierdomenico 2008   78  0.3082  0.0086  0.0285  0.0261  0.0577  0.03
Poblocka 1999   6  0.5855  0.0010  0.1511  0.5627  0.439  0.49
Rabcewiczowa 1932   22  0.5136  0.0018  0.0817  0.5014  0.4412  0.47
Rachmaninoff 1923   62  0.3850  0.0051  0.0851  0.0851  0.0560  0.06
Rangell 2001   48  0.4437  0.0063  0.0562  0.0570  0.0566  0.05
Richter 1976   47  0.4661  0.0046  0.0752  0.0731  0.3144  0.15
Rosen 1989   39  0.4714  0.0144  0.0739  0.1728  0.3332  0.24
Rosenthal 1930   41  0.479  0.0126  0.0728  0.3511  0.5918  0.45
Rosenthal 1931   38  0.477  0.0211  0.1023  0.419  0.5515  0.47
Rosenthal 1931b   56  0.4223  0.0127  0.0934  0.2113  0.5229  0.33
Rosenthal 1931c   32  0.4912  0.0116  0.0819  0.477  0.647  0.55
Rosenthal 1931d   65  0.3874  0.0048  0.0947  0.0919  0.4637  0.20
Rossi 2007   77  0.3090  0.0081  0.0380  0.0382  0.0376  0.03
Rubinstein 1939   52  0.4341  0.0059  0.0850  0.0852  0.0561  0.06
Rubinstein 1952   29  0.5019  0.0154  0.0659  0.0657  0.0568  0.05
Rubinstein 1966   21  0.5264  0.0039  0.0633  0.2257  0.0653  0.11
Schilhawsky 1960   57  0.4118  0.0135  0.0541  0.1640  0.2239  0.19
Shebanova 2002   45  0.4657  0.0049  0.0754  0.0749  0.0662  0.06
Smith 1975   44  0.4675  0.0052  0.0949  0.0936  0.2742  0.16
Sokolov 2002   49  0.4445  0.0047  0.0948  0.0923  0.4436  0.20
Sztompka 1959   67  0.3783  0.0069  0.0472  0.0451  0.0573  0.04
Tomsic 1995   18  0.5234  0.0024  0.0918  0.4818  0.4714  0.47
Uninsky 1932   51  0.4342  0.0033  0.0636  0.2020  0.5428  0.33
Uninsky 1971   26  0.5038  0.0029  0.0726  0.3824  0.4423  0.41
Wasowski 1980   37  0.4767  0.0053  0.0658  0.0647  0.0759  0.06
Zak 1937   60  0.4091  0.0071  0.0470  0.0453  0.0571  0.04
Zak 1951   58  0.4166  0.0068  0.0561  0.0578  0.0372  0.04
Average   1  0.671  0.351  0.351  0.7940  0.2124  0.41
Random 1   90  -0.0568  0.0090  0.0289  0.0211  0.4457  0.09
Random 2   89  0.0752  0.0089  0.0288  0.027  0.4755  0.10
Random 3   91  -0.2276  0.0091  0.0191  0.0191  0.0191  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).