Moravec 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   73  0.3355  0.0075  0.0474  0.0471  0.0473  0.04
Anderszewski 2003   11  0.5623  0.018  0.115  0.6521  0.495  0.56
Ashkenazy 1981   74  0.3283  0.0079  0.0472  0.0480  0.0382  0.03
Bacha 2000   69  0.3540  0.0060  0.0563  0.0582  0.0368  0.04
Badura 1965   78  0.2960  0.0076  0.0473  0.0480  0.0381  0.03
Barbosa 1983   2  0.602  0.212  0.227  0.5917  0.516  0.55
Biret 1990   42  0.4738  0.0039  0.0736  0.1944  0.0849  0.12
Blet 2003   63  0.3872  0.0065  0.0564  0.0547  0.0663  0.05
Block 1995   30  0.4924  0.0024  0.0723  0.4017  0.4821  0.44
Blumental 1952   4  0.583  0.134  0.323  0.675  0.711  0.69
Boshniakovich 1969   34  0.476  0.0219  0.1024  0.3927  0.2926  0.34
Brailowsky 1960   12  0.5425  0.0014  0.0821  0.4221  0.4916  0.45
Bunin 1987   52  0.4376  0.0055  0.0656  0.0629  0.2153  0.11
Bunin 1987b   54  0.4284  0.0057  0.0752  0.0726  0.2947  0.14
Chiu 1999   60  0.4011  0.0136  0.0544  0.1226  0.2539  0.17
Cohen 1997   67  0.3628  0.0064  0.0565  0.0562  0.0475  0.04
Cortot 1951   83  0.2385  0.0084  0.0289  0.0266  0.0388  0.02
Csalog 1996   33  0.4832  0.0041  0.0734  0.2029  0.2732  0.23
Czerny 1949   35  0.4731  0.0035  0.0542  0.1541  0.1644  0.15
Czerny 1990   6  0.5730  0.007  0.114  0.6627  0.544  0.60
Duchoud 2007   85  0.1977  0.0087  0.0286  0.0278  0.0286  0.02
Ezaki 2006   3  0.604  0.073  0.252  0.736  0.612  0.67
Falvay 1989   1  0.651  0.301  0.301  0.7418  0.573  0.65
Farrell 1958   58  0.4169  0.0061  0.0566  0.0557  0.0562  0.05
Ferenczy 1958   32  0.4917  0.0140  0.0731  0.2411  0.6024  0.38
Fliere 1977   9  0.5748  0.005  0.136  0.6130  0.3810  0.48
Fou 1978   39  0.4726  0.0037  0.0643  0.1447  0.0655  0.09
Francois 1956   84  0.2063  0.0082  0.0285  0.0279  0.0389  0.02
Friedman 1923   82  0.2427  0.0077  0.0381  0.0376  0.0484  0.03
Friedman 1923b   81  0.2443  0.0078  0.0377  0.0367  0.0483  0.03
Friedman 1930   79  0.2761  0.0073  0.0375  0.0370  0.0480  0.03
Garcia 2007   70  0.3578  0.0071  0.0467  0.0449  0.0574  0.04
Garcia 2007b   53  0.4379  0.0059  0.0945  0.0964  0.0558  0.07
Gierzod 1998   10  0.5646  0.0016  0.0714  0.5144  0.1630  0.29
Gornostaeva 1994   26  0.5016  0.0127  0.0728  0.3526  0.3725  0.36
Groot 1988   49  0.4466  0.0049  0.0654  0.0668  0.0466  0.05
Harasiewicz 1955   8  0.5710  0.0111  0.089  0.5734  0.4011  0.48
Hatto 1993   22  0.5133  0.0018  0.1015  0.5025  0.4120  0.45
Hatto 1997   23  0.5159  0.0020  0.1313  0.5128  0.3917  0.45
Horowitz 1949   68  0.3649  0.0069  0.0468  0.0425  0.3150  0.11
Indjic 1988   27  0.5086  0.0021  0.1119  0.4726  0.3722  0.42
Kapell 1951   7  0.5729  0.0013  0.0811  0.5128  0.4313  0.47
Kissin 1993   24  0.5014  0.0144  0.0841  0.1538  0.3334  0.22
Kushner 1989   13  0.5352  0.0029  0.0826  0.3848  0.0841  0.17
Luisada 1991   45  0.4654  0.0054  0.0655  0.0633  0.2448  0.12
Lushtak 2004   29  0.4947  0.0042  0.0637  0.1844  0.1245  0.15
Malcuzynski 1961   19  0.525  0.046  0.138  0.5922  0.458  0.52
Magaloff 1978   14  0.539  0.0130  0.0730  0.2730  0.3429  0.30
Magin 1975   41  0.4744  0.0033  0.0539  0.1737  0.1840  0.17
Michalowski 1933   86  0.1664  0.0086  0.0380  0.0371  0.0379  0.03
Milkina 1970   15  0.5319  0.0122  0.1320  0.4644  0.1133  0.22
Mohovich 1999   16  0.5321  0.0112  0.0812  0.5127  0.3919  0.45
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   62  0.3870  0.0066  0.0470  0.0453  0.0664  0.05
Neighaus 1950   80  0.2680  0.0081  0.0283  0.0284  0.0287  0.02
Niedzielski 1931   72  0.3473  0.0056  0.0659  0.0620  0.3546  0.14
Ohlsson 1999   71  0.3587  0.0074  0.0376  0.0373  0.0378  0.03
Osinska 1989   18  0.5234  0.0031  0.0729  0.3144  0.1237  0.19
Pachmann 1927   75  0.3113  0.0163  0.0562  0.0536  0.2351  0.11
Paderewski 1930   87  0.1588  0.0083  0.0282  0.0271  0.0385  0.02
Perlemuter 1992   65  0.3757  0.0072  0.0378  0.0347  0.0669  0.04
Pierdomenico 2008   77  0.3081  0.0085  0.0284  0.0260  0.0577  0.03
Poblocka 1999   5  0.5856  0.009  0.1510  0.5626  0.439  0.49
Rabcewiczowa 1932   21  0.5136  0.0017  0.0816  0.5013  0.4412  0.47
Rachmaninoff 1923   61  0.3850  0.0050  0.0850  0.0850  0.0657  0.07
Rangell 2001   47  0.4437  0.0062  0.0561  0.0569  0.0565  0.05
Richter 1976   46  0.4662  0.0045  0.0851  0.0830  0.3143  0.16
Rosen 1989   38  0.4715  0.0143  0.0738  0.1727  0.3331  0.24
Rosenthal 1930   40  0.478  0.0125  0.0727  0.3510  0.5918  0.45
Rosenthal 1931   37  0.477  0.0210  0.1022  0.418  0.5515  0.47
Rosenthal 1931b   55  0.4222  0.0126  0.0933  0.2112  0.5228  0.33
Rosenthal 1931c   31  0.4912  0.0115  0.0818  0.476  0.647  0.55
Rosenthal 1931d   64  0.3874  0.0047  0.0946  0.0918  0.4636  0.20
Rossi 2007   76  0.3089  0.0080  0.0379  0.0381  0.0376  0.03
Rubinstein 1939   51  0.4341  0.0058  0.0849  0.0851  0.0560  0.06
Rubinstein 1952   28  0.5020  0.0153  0.0658  0.0656  0.0567  0.05
Rubinstein 1966   20  0.5253  0.0038  0.0732  0.2256  0.0652  0.11
Schilhawsky 1960   56  0.4118  0.0134  0.0540  0.1639  0.2238  0.19
Shebanova 2002   44  0.4658  0.0048  0.0753  0.0748  0.0661  0.06
Smith 1975   43  0.4671  0.0051  0.0948  0.0935  0.2742  0.16
Sokolov 2002   48  0.4445  0.0046  0.0947  0.0922  0.4435  0.20
Sztompka 1959   66  0.3782  0.0068  0.0471  0.0450  0.0572  0.04
Tomsic 1995   17  0.5235  0.0023  0.0917  0.4817  0.4714  0.47
Uninsky 1932   50  0.4342  0.0032  0.0635  0.2019  0.5427  0.33
Uninsky 1971   25  0.5039  0.0028  0.0725  0.3823  0.4423  0.41
Wasowski 1980   36  0.4767  0.0052  0.0657  0.0646  0.0759  0.06
Zak 1937   59  0.4090  0.0070  0.0469  0.0452  0.0570  0.04
Zak 1951   57  0.4165  0.0067  0.0560  0.0577  0.0371  0.04
Random 1   89  -0.0568  0.0089  0.0288  0.0211  0.4356  0.09
Random 2   88  0.0751  0.0088  0.0287  0.027  0.4654  0.10
Random 3   90  -0.2275  0.0090  0.0190  0.0190  0.0190  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).