Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.7156  0.0016  0.1711  0.4873  0.0336  0.12
Anderszewski 2003   27  0.6411  0.0233  0.0643  0.1163  0.0451  0.07
Ashkenazy 1981   60  0.5242  0.0062  0.0549  0.0562  0.0471  0.04
Bacha 2000   24  0.6452  0.0029  0.0925  0.3036  0.1321  0.20
Badura 1965   70  0.5030  0.0079  0.0286  0.0261  0.0587  0.03
Barbosa 1983   82  0.4554  0.0058  0.0556  0.0557  0.0560  0.05
Biret 1990   18  0.6638  0.0017  0.1216  0.4525  0.2511  0.34
Blet 2003   30  0.6386  0.0035  0.0633  0.2147  0.0734  0.12
Block 1995   79  0.4683  0.0067  0.0378  0.0382  0.0388  0.03
Blumental 1952   25  0.6410  0.0313  0.1110  0.4932  0.1616  0.28
Boshniakovich 1969   41  0.607  0.0449  0.0464  0.0461  0.0570  0.04
Brailowsky 1960   26  0.6441  0.0055  0.0554  0.0549  0.0558  0.05
Bunin 1987   86  0.3949  0.0086  0.0474  0.0469  0.0472  0.04
Bunin 1987b   87  0.3771  0.0085  0.0287  0.0269  0.0479  0.03
Chiu 1999   59  0.5228  0.0051  0.0469  0.0456  0.0464  0.04
Cohen 1997   83  0.4247  0.0078  0.0381  0.0335  0.2247  0.08
Cortot 1951   76  0.4884  0.0083  0.0465  0.0484  0.0390  0.03
Csalog 1996   72  0.5045  0.0053  0.0646  0.0634  0.1838  0.10
Czerny 1949   29  0.6446  0.0042  0.0535  0.1668  0.0445  0.08
Czerny 1990   1  0.771  0.251  0.241  0.6113  0.423  0.51
Duchoud 2007   85  0.3962  0.0084  0.0383  0.0374  0.0385  0.03
Ezaki 2006   46  0.5876  0.0057  0.0553  0.0584  0.0363  0.04
Falvay 1989   22  0.6519  0.0131  0.0732  0.228  0.5310  0.34
Farrell 1958   21  0.6540  0.0011  0.1113  0.4726  0.336  0.39
Ferenczy 1958   40  0.605  0.0625  0.0737  0.1540  0.1035  0.12
Fliere 1977   31  0.6355  0.0043  0.0440  0.1259  0.0448  0.07
Fou 1978   17  0.6713  0.026  0.1012  0.4833  0.1814  0.29
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   58  0.5377  0.0074  0.0472  0.0464  0.0576  0.04
Friedman 1923b   61  0.5272  0.0075  0.0461  0.0464  0.0573  0.04
Friedman 1930   50  0.5678  0.0070  0.0384  0.0346  0.0861  0.05
Garcia 2007   35  0.6273  0.0030  0.0827  0.2852  0.0632  0.13
Garcia 2007b   38  0.6239  0.0027  0.0928  0.2762  0.0439  0.10
Gierzod 1998   13  0.6959  0.0018  0.1014  0.4652  0.0622  0.17
Gornostaeva 1994   19  0.6648  0.0034  0.0531  0.2442  0.0925  0.15
Groot 1988   28  0.643  0.0710  0.1221  0.4230  0.309  0.35
Harasiewicz 1955   54  0.5634  0.0064  0.0457  0.0455  0.0574  0.04
Hatto 1993   73  0.4990  0.0071  0.0285  0.0278  0.0489  0.03
Hatto 1997   65  0.5166  0.0072  0.0376  0.0379  0.0484  0.03
Horowitz 1949   84  0.4179  0.0087  0.0466  0.0461  0.0566  0.04
Indjic 1988   63  0.5187  0.0066  0.0470  0.0479  0.0467  0.04
Kapell 1951   47  0.5881  0.0041  0.0642  0.1266  0.0450  0.07
Kissin 1993   33  0.6320  0.0126  0.0726  0.2969  0.0342  0.09
Kushner 1989   2  0.762  0.152  0.305  0.5614  0.472  0.51
Luisada 1991   42  0.5967  0.0028  0.0830  0.2449  0.0633  0.12
Lushtak 2004   23  0.6537  0.0024  0.1022  0.3752  0.0527  0.14
Malcuzynski 1961   80  0.4626  0.0069  0.0380  0.0371  0.0380  0.03
Magaloff 1978   14  0.6821  0.0122  0.0824  0.3211  0.408  0.36
Magin 1975   53  0.564  0.065  0.1023  0.3439  0.1519  0.23
Michalowski 1933   37  0.6235  0.0044  0.0545  0.0946  0.0744  0.08
Milkina 1970   16  0.6768  0.0032  0.0629  0.2572  0.0341  0.09
Mohovich 1999   15  0.6743  0.0020  0.0917  0.4365  0.0524  0.15
Moravec 1969   52  0.5663  0.0052  0.0467  0.0424  0.4029  0.13
Morozova 2008   66  0.5125  0.0038  0.0538  0.1458  0.0452  0.07
Neighaus 1950   10  0.7115  0.0123  0.1019  0.4262  0.0528  0.14
Niedzielski 1931   20  0.659  0.0321  0.0820  0.4236  0.2312  0.31
Ohlsson 1999   39  0.6161  0.0037  0.0434  0.2059  0.0537  0.10
Osinska 1989   8  0.726  0.0514  0.129  0.5040  0.1615  0.28
Pachmann 1927   32  0.6351  0.0046  0.0459  0.0412  0.4231  0.13
Paderewski 1930   4  0.748  0.044  0.114  0.562  0.591  0.57
Perlemuter 1992   11  0.7014  0.0115  0.1115  0.4538  0.1418  0.25
Pierdomenico 2008   43  0.5927  0.0019  0.1118  0.434  0.544  0.48
Poblocka 1999   55  0.5522  0.0150  0.0550  0.0548  0.0754  0.06
Rabcewiczowa 1932   6  0.7217  0.013  0.127  0.539  0.415  0.47
Rachmaninoff 1923   34  0.6231  0.0039  0.0536  0.1653  0.0540  0.09
Rangell 2001   81  0.4650  0.0059  0.0458  0.0432  0.2243  0.09
Richter 1976   88  0.2782  0.0088  0.0375  0.0379  0.0381  0.03
Rosen 1989   12  0.6944  0.007  0.118  0.5123  0.297  0.38
Rosenthal 1930   78  0.4733  0.0082  0.0468  0.0472  0.0386  0.03
Rosenthal 1931   75  0.4874  0.0080  0.0288  0.0248  0.0582  0.03
Rosenthal 1931b   68  0.5185  0.0068  0.0379  0.0342  0.1062  0.05
Rosenthal 1931c   77  0.4775  0.0081  0.0473  0.0459  0.0475  0.04
Rosenthal 1931d   71  0.5069  0.0077  0.0471  0.0440  0.1353  0.07
Rossi 2007   48  0.5818  0.0154  0.0551  0.0520  0.3430  0.13
Rubinstein 1939   67  0.5180  0.0073  0.0377  0.0384  0.0378  0.03
Rubinstein 1952   64  0.5160  0.0040  0.0539  0.1332  0.3420  0.21
Rubinstein 1966   51  0.5632  0.0063  0.0552  0.0571  0.0468  0.04
Schilhawsky 1960   62  0.5229  0.0076  0.0382  0.0368  0.0483  0.03
Shebanova 2002   5  0.7324  0.019  0.142  0.5741  0.1713  0.31
Smith 1975   36  0.6257  0.0036  0.0541  0.1252  0.0449  0.07
Sokolov 2002   69  0.5123  0.0160  0.0462  0.0470  0.0377  0.03
Sztompka 1959   7  0.7236  0.0012  0.116  0.5543  0.1317  0.27
Tomsic 1995   56  0.5553  0.0056  0.0555  0.0525  0.4126  0.14
Uninsky 1932   57  0.5464  0.0061  0.0548  0.0569  0.0469  0.04
Uninsky 1971   74  0.4988  0.0065  0.0463  0.0453  0.0659  0.05
Wasowski 1980   45  0.5912  0.0248  0.0547  0.0556  0.0657  0.05
Zak 1937   44  0.5989  0.0047  0.0460  0.0466  0.0465  0.04
Zak 1951   49  0.5765  0.0045  0.0544  0.1062  0.0455  0.06
Average   3  0.7516  0.018  0.133  0.5673  0.0423  0.15
Random 1   91  -0.2491  0.0091  0.0191  0.0169  0.0391  0.02
Random 2   90  -0.1370  0.0090  0.0290  0.0225  0.2156  0.06
Random 3   89  -0.0658  0.0089  0.0289  0.0224  0.3246  0.08

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).