Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.4638  0.0058  0.0480  0.0436  0.2072  0.09
Anderszewski 2003   11  0.636  0.0213  0.109  0.664  0.6810  0.67
Ashkenazy 1981   68  0.4156  0.0077  0.0473  0.0472  0.0387  0.03
Bacha 2000   77  0.3636  0.0080  0.0464  0.0481  0.0384  0.03
Badura 1965   58  0.4466  0.0061  0.0560  0.0513  0.4651  0.15
Barbosa 1983   21  0.5942  0.0014  0.0817  0.5813  0.6120  0.59
Biret 1990   32  0.5616  0.0136  0.1432  0.4518  0.4732  0.46
Blet 2003   69  0.4157  0.0073  0.0385  0.0344  0.1375  0.06
Block 1995   16  0.6215  0.015  0.214  0.731  0.834  0.78
Blumental 1952   24  0.5823  0.0026  0.0922  0.558  0.7017  0.62
Boshniakovich 1969   46  0.4847  0.0021  0.0939  0.3522  0.3740  0.36
Brailowsky 1960   19  0.617  0.0122  0.0829  0.478  0.6923  0.57
Bunin 1987   47  0.4775  0.0041  0.0741  0.219  0.5741  0.35
Bunin 1987b   56  0.4464  0.0043  0.0844  0.169  0.5643  0.30
Chiu 1999   44  0.5085  0.0046  0.0549  0.053  0.5448  0.16
Cohen 1997   70  0.4113  0.0159  0.0557  0.0510  0.4056  0.14
Cortot 1951   86  0.2376  0.0086  0.0288  0.0268  0.0390  0.02
Csalog 1996   4  0.662  0.083  0.323  0.761  0.822  0.79
Czerny 1949   48  0.4767  0.0054  0.0463  0.0445  0.1374  0.07
Czerny 1990   5  0.665  0.054  0.2312  0.6319  0.6614  0.64
Duchoud 2007   84  0.2558  0.0084  0.0483  0.0454  0.0678  0.05
Ezaki 2006   6  0.6611  0.019  0.146  0.705  0.705  0.70
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   63  0.4368  0.0055  0.0559  0.0543  0.1770  0.09
Ferenczy 1958   18  0.6120  0.0019  0.1016  0.601  0.799  0.69
Fliere 1977   13  0.6237  0.0016  0.0813  0.625  0.6316  0.62
Fou 1978   25  0.5830  0.0037  0.1138  0.3622  0.4038  0.38
Francois 1956   85  0.2486  0.0085  0.0384  0.0377  0.0388  0.03
Friedman 1923   78  0.3587  0.0076  0.0472  0.0435  0.2368  0.10
Friedman 1923b   79  0.3534  0.0074  0.0474  0.0430  0.2767  0.10
Friedman 1930   61  0.4359  0.0052  0.0551  0.059  0.5746  0.17
Garcia 2007   75  0.3860  0.0064  0.0471  0.0424  0.4259  0.13
Garcia 2007b   55  0.4539  0.0048  0.0554  0.0523  0.4353  0.15
Gierzod 1998   7  0.6648  0.008  0.187  0.696  0.6312  0.66
Gornostaeva 1994   29  0.574  0.067  0.1524  0.529  0.5925  0.55
Groot 1988   54  0.4544  0.0051  0.0558  0.0525  0.2862  0.12
Harasiewicz 1955   15  0.6249  0.0024  0.0918  0.5817  0.6022  0.59
Hatto 1993   38  0.5532  0.0033  0.1331  0.4621  0.4733  0.46
Hatto 1997   37  0.5561  0.0035  0.1034  0.4127  0.4236  0.41
Horowitz 1949   81  0.3477  0.0082  0.0556  0.0539  0.1571  0.09
Indjic 1988   30  0.5624  0.0032  0.1227  0.4718  0.5129  0.49
Kapell 1951   26  0.5821  0.0027  0.0926  0.5014  0.5926  0.54
Kissin 1993   33  0.5678  0.0045  0.0745  0.1431  0.4245  0.24
Kushner 1989   3  0.6725  0.006  0.165  0.725  0.677  0.69
Luisada 1991   34  0.5579  0.0040  0.1140  0.327  0.6135  0.44
Lushtak 2004   27  0.5814  0.0123  0.0914  0.615  0.6615  0.63
Malcuzynski 1961   43  0.5031  0.0038  0.0937  0.3631  0.3839  0.37
Magaloff 1978   41  0.5169  0.0056  0.0647  0.0640  0.2063  0.11
Magin 1975   22  0.5940  0.0028  0.1121  0.575  0.6619  0.61
Michalowski 1933   87  0.1880  0.0087  0.0387  0.0357  0.0386  0.03
Milkina 1970   35  0.5545  0.0034  0.0930  0.4632  0.3537  0.40
Mohovich 1999   23  0.5822  0.0015  0.0915  0.618  0.6418  0.62
Moravec 1969   9  0.658  0.0112  0.1519  0.572  0.7413  0.65
Morozova 2008   62  0.4388  0.0067  0.0553  0.0555  0.0677  0.05
Neighaus 1950   83  0.3370  0.0083  0.0479  0.0446  0.0679  0.05
Niedzielski 1931   82  0.3362  0.0049  0.0552  0.056  0.4649  0.15
Ohlsson 1999   49  0.4763  0.0053  0.0466  0.0426  0.3961  0.12
Osinska 1989   2  0.693  0.062  0.352  0.812  0.811  0.81
Pachmann 1927   80  0.3581  0.0079  0.0461  0.0426  0.3760  0.12
Paderewski 1930   88  0.1482  0.0088  0.0386  0.0358  0.0485  0.03
Perlemuter 1992   53  0.4589  0.0060  0.0555  0.056  0.5347  0.16
Pierdomenico 2008   72  0.3990  0.0070  0.0475  0.0439  0.2269  0.09
Poblocka 1999   8  0.6626  0.0010  0.1310  0.666  0.6611  0.66
Rabcewiczowa 1932   57  0.4435  0.0042  0.0742  0.1923  0.3644  0.26
Rachmaninoff 1923   66  0.4150  0.0065  0.0467  0.0440  0.1773  0.08
Rangell 2001   50  0.4671  0.0062  0.0469  0.0431  0.3365  0.11
Richter 1976   40  0.5129  0.0050  0.0648  0.0627  0.3850  0.15
Rosen 1989   31  0.5653  0.0031  0.1028  0.476  0.6424  0.55
Rosenthal 1930   76  0.3772  0.0081  0.0470  0.0454  0.0583  0.04
Rosenthal 1931   51  0.4652  0.0057  0.0468  0.0411  0.5255  0.14
Rosenthal 1931b   67  0.4173  0.0078  0.0646  0.0624  0.3652  0.15
Rosenthal 1931c   45  0.4951  0.0044  0.0743  0.1612  0.6242  0.31
Rosenthal 1931d   64  0.4327  0.0068  0.0476  0.0416  0.4957  0.14
Rossi 2007   73  0.399  0.0163  0.0478  0.0420  0.4158  0.13
Rubinstein 1939   59  0.4443  0.0071  0.0477  0.0457  0.0480  0.04
Rubinstein 1952   14  0.6219  0.0029  0.1125  0.5122  0.5128  0.51
Rubinstein 1966   17  0.6246  0.0025  0.0820  0.5723  0.5227  0.54
Schilhawsky 1960   60  0.4441  0.0069  0.0481  0.0452  0.0582  0.04
Shebanova 2002   20  0.6012  0.0111  0.1323  0.534  0.6521  0.59
Smith 1975   28  0.5728  0.0030  0.1036  0.3711  0.5534  0.45
Sokolov 2002   71  0.4054  0.0066  0.0465  0.0440  0.2366  0.10
Sztompka 1959   65  0.4365  0.0075  0.0462  0.0465  0.0481  0.04
Tomsic 1995   39  0.5418  0.0020  0.0933  0.4111  0.5530  0.47
Uninsky 1932   74  0.3983  0.0072  0.0482  0.0432  0.2964  0.11
Uninsky 1971   42  0.5084  0.0047  0.0550  0.0527  0.3854  0.14
Wasowski 1980   36  0.5533  0.0039  0.1135  0.388  0.5631  0.46
Zak 1937   10  0.6417  0.0018  0.1011  0.654  0.738  0.69
Zak 1951   12  0.6310  0.0117  0.088  0.664  0.746  0.70
Average   1  0.771  0.591  0.591  0.888  0.713  0.79
Random 1   90  -0.0874  0.0090  0.0289  0.0239  0.1876  0.06
Random 2   89  -0.0191  0.0089  0.0290  0.0260  0.0389  0.02
Random 3   91  -0.1855  0.0091  0.0191  0.0180  0.0291  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).