Moravec 1969

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.5272  0.0046  0.0747  0.0783  0.0347  0.05
Anderszewski 2003   56  0.4348  0.0065  0.0559  0.0578  0.0357  0.04
Ashkenazy 1981   69  0.3939  0.0066  0.0464  0.0488  0.0281  0.03
Bacha 2000   27  0.5540  0.0018  0.0913  0.4958  0.0421  0.14
Badura 1965   84  0.308  0.0377  0.0378  0.0379  0.0380  0.03
Barbosa 1983   61  0.4269  0.0032  0.0836  0.1966  0.0434  0.09
Biret 1990   14  0.6036  0.0015  0.1118  0.4655  0.0520  0.15
Blet 2003   44  0.4946  0.0052  0.0554  0.0572  0.0458  0.04
Block 1995   81  0.3187  0.0079  0.0285  0.0283  0.0388  0.02
Blumental 1952   2  0.711  0.201  0.203  0.633  0.427  0.51
Boshniakovich 1969   82  0.3173  0.0081  0.0283  0.0284  0.0389  0.02
Brailowsky 1960   32  0.5332  0.0030  0.0727  0.3458  0.0426  0.12
Bunin 1987   86  0.2027  0.0086  0.0287  0.0278  0.0390  0.02
Bunin 1987b   87  0.1822  0.0187  0.0380  0.0378  0.0371  0.03
Chiu 1999   46  0.4850  0.0031  0.0731  0.2574  0.0333  0.09
Cohen 1997   68  0.4037  0.0043  0.0643  0.1314  0.3517  0.21
Cortot 1951   21  0.5858  0.0029  0.0730  0.2844  0.0919  0.16
Csalog 1996   16  0.6015  0.0116  0.1314  0.4812  0.3911  0.43
Czerny 1949   43  0.4920  0.0151  0.0558  0.0575  0.0461  0.04
Czerny 1990   1  0.714  0.082  0.182  0.6620  0.3110  0.45
Duchoud 2007   75  0.3457  0.0075  0.0476  0.0477  0.0379  0.03
Ezaki 2006   17  0.6012  0.0211  0.1510  0.5342  0.1215  0.25
Falvay 1989   9  0.6414  0.0112  0.1016  0.4711  0.529  0.49
Farrell 1958   30  0.5474  0.0022  0.1123  0.4063  0.0523  0.14
Ferenczy 1958   42  0.5055  0.0041  0.0545  0.1254  0.0538  0.08
Fliere 1977   50  0.4429  0.0062  0.0462  0.0481  0.0365  0.03
Fou 1978   34  0.5242  0.0044  0.0541  0.1487  0.0344  0.06
Francois 1956   23  0.5677  0.0024  0.1324  0.4067  0.0425  0.13
Friedman 1923   70  0.3964  0.0074  0.0648  0.0671  0.0451  0.05
Friedman 1923b   72  0.3865  0.0072  0.0465  0.0487  0.0382  0.03
Friedman 1930   59  0.4245  0.0073  0.0557  0.0560  0.0546  0.05
Garcia 2007   25  0.5533  0.0045  0.0838  0.1566  0.0439  0.08
Garcia 2007b   41  0.5024  0.0042  0.0544  0.1370  0.0443  0.07
Gierzod 1998   45  0.4859  0.0053  0.0746  0.0775  0.0348  0.05
Gornostaeva 1994   39  0.5151  0.0038  0.0539  0.1571  0.0342  0.07
Groot 1988   60  0.4243  0.0056  0.0551  0.0584  0.0363  0.04
Harasiewicz 1955   53  0.4460  0.0058  0.0377  0.0379  0.0385  0.03
Hatto 1993   83  0.3091  0.0083  0.0381  0.0386  0.0384  0.03
Hatto 1997   77  0.3288  0.0082  0.0284  0.0286  0.0387  0.02
Horowitz 1949   76  0.3361  0.0085  0.0473  0.0484  0.0372  0.03
Indjic 1988   78  0.3278  0.0084  0.0475  0.0486  0.0376  0.03
Kapell 1951   19  0.5813  0.0217  0.1021  0.4281  0.0328  0.11
Kissin 1993   31  0.5347  0.0039  0.0540  0.1487  0.0245  0.05
Kushner 1989   40  0.5162  0.0048  0.0463  0.0487  0.0269  0.03
Luisada 1991   52  0.4482  0.0047  0.0470  0.0479  0.0364  0.03
Lushtak 2004   54  0.4489  0.0054  0.0550  0.0580  0.0362  0.04
Malcuzynski 1961   37  0.5111  0.0325  0.0828  0.2939  0.1516  0.21
Magaloff 1978   18  0.5917  0.0121  0.1017  0.4644  0.1614  0.27
Magin 1975   49  0.4618  0.0150  0.0461  0.0481  0.0368  0.03
Michalowski 1933   62  0.4121  0.0168  0.0460  0.0472  0.0455  0.04
Milkina 1970   13  0.6252  0.0019  0.1215  0.4876  0.0327  0.12
Mohovich 1999   28  0.5453  0.0027  0.0725  0.4086  0.0329  0.11
Moravec 1969   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Morozova 2008   71  0.3879  0.0060  0.0379  0.0366  0.0477  0.03
Neighaus 1950   80  0.3266  0.0078  0.0288  0.0285  0.0391  0.02
Niedzielski 1931   7  0.665  0.079  0.261  0.6827  0.378  0.50
Ohlsson 1999   85  0.2880  0.0080  0.0382  0.0378  0.0375  0.03
Osinska 1989   20  0.5831  0.0028  0.0626  0.3487  0.0331  0.10
Pachmann 1927   64  0.4149  0.0076  0.0471  0.0484  0.0273  0.03
Paderewski 1930   38  0.5184  0.0036  0.0632  0.2470  0.0337  0.08
Perlemuter 1992   33  0.5270  0.0037  0.0537  0.1985  0.0336  0.08
Pierdomenico 2008   79  0.3263  0.0070  0.0555  0.0576  0.0452  0.04
Poblocka 1999   57  0.4371  0.0069  0.0468  0.0488  0.0266  0.03
Rabcewiczowa 1932   3  0.6926  0.008  0.2111  0.5016  0.3112  0.39
Rachmaninoff 1923   15  0.6016  0.0114  0.1112  0.4958  0.0422  0.14
Rangell 2001   74  0.3541  0.0067  0.0469  0.0474  0.0383  0.03
Richter 1976   88  0.1456  0.0088  0.0286  0.0285  0.0286  0.02
Rosen 1989   36  0.5267  0.0040  0.0534  0.2387  0.0241  0.07
Rosenthal 1930   11  0.639  0.0310  0.175  0.567  0.506  0.53
Rosenthal 1931   5  0.672  0.153  0.254  0.565  0.591  0.57
Rosenthal 1931b   6  0.677  0.044  0.197  0.556  0.593  0.57
Rosenthal 1931c   8  0.6610  0.037  0.299  0.546  0.545  0.54
Rosenthal 1931d   4  0.6728  0.006  0.178  0.555  0.592  0.57
Rossi 2007   10  0.643  0.085  0.166  0.565  0.554  0.55
Rubinstein 1939   48  0.4785  0.0035  0.0835  0.2057  0.0532  0.10
Rubinstein 1952   26  0.5554  0.0013  0.1022  0.4133  0.3413  0.37
Rubinstein 1966   58  0.4281  0.0034  0.0542  0.1379  0.0440  0.07
Schilhawsky 1960   65  0.4138  0.0057  0.0467  0.0463  0.0459  0.04
Shebanova 2002   51  0.4430  0.0055  0.0649  0.0685  0.0360  0.04
Smith 1975   24  0.5525  0.0023  0.1120  0.4454  0.0424  0.13
Sokolov 2002   73  0.3644  0.0063  0.0472  0.0463  0.0367  0.03
Sztompka 1959   47  0.4875  0.0049  0.0556  0.0588  0.0274  0.03
Tomsic 1995   67  0.4068  0.0064  0.0466  0.0473  0.0454  0.04
Uninsky 1932   22  0.566  0.0526  0.0829  0.2845  0.1318  0.19
Uninsky 1971   66  0.4134  0.0071  0.0552  0.0579  0.0456  0.04
Wasowski 1980   29  0.5435  0.0033  0.0533  0.2477  0.0430  0.10
Zak 1937   55  0.4390  0.0059  0.0474  0.0487  0.0270  0.03
Zak 1951   63  0.4186  0.0061  0.0553  0.0587  0.0353  0.04
Average   12  0.6223  0.0120  0.1119  0.4485  0.0235  0.09
Random 1   90  -0.1476  0.0089  0.0189  0.0125  0.2349  0.05
Random 2   91  -0.2119  0.0191  0.0191  0.0142  0.0878  0.03
Random 3   89  -0.1183  0.0090  0.0190  0.0133  0.2250  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).