Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.6029  0.0017  0.1113  0.4256  0.0427  0.13
Anderszewski 2003   65  0.4157  0.0056  0.0557  0.0588  0.0281  0.03
Ashkenazy 1981   44  0.4942  0.0049  0.0651  0.0675  0.0371  0.04
Bacha 2000   35  0.5030  0.0032  0.0533  0.2131  0.2216  0.21
Badura 1965   25  0.5341  0.0052  0.0655  0.0672  0.0460  0.05
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   18  0.564  0.068  0.1310  0.5230  0.259  0.36
Blet 2003   4  0.656  0.043  0.229  0.5312  0.414  0.47
Block 1995   77  0.3486  0.0077  0.0378  0.0380  0.0385  0.03
Blumental 1952   62  0.4263  0.0070  0.0561  0.0574  0.0369  0.04
Boshniakovich 1969   71  0.3770  0.0076  0.0477  0.0467  0.0470  0.04
Brailowsky 1960   27  0.525  0.0415  0.0932  0.2139  0.2117  0.21
Bunin 1987   58  0.4456  0.0063  0.0746  0.0751  0.0551  0.06
Bunin 1987b   61  0.4366  0.0062  0.0465  0.0452  0.0566  0.04
Chiu 1999   1  0.721  0.361  0.351  0.722  0.661  0.69
Cohen 1997   64  0.4253  0.0066  0.0468  0.0423  0.2539  0.10
Cortot 1951   53  0.4572  0.0058  0.0563  0.0571  0.0473  0.04
Csalog 1996   68  0.3959  0.0038  0.0828  0.2326  0.2812  0.25
Czerny 1949   42  0.4913  0.0157  0.0559  0.0567  0.0559  0.05
Czerny 1990   15  0.5738  0.0027  0.0722  0.2868  0.0436  0.11
Duchoud 2007   31  0.5124  0.0039  0.0637  0.1839  0.1622  0.17
Ezaki 2006   3  0.653  0.096  0.143  0.6124  0.326  0.44
Falvay 1989   19  0.5543  0.0021  0.0634  0.2037  0.2715  0.23
Farrell 1958   22  0.5427  0.0048  0.0649  0.0660  0.0557  0.05
Ferenczy 1958   24  0.5352  0.0030  0.0523  0.2830  0.2113  0.24
Fliere 1977   14  0.5836  0.0016  0.0911  0.4664  0.0424  0.14
Fou 1978   32  0.5110  0.0213  0.1220  0.3042  0.1119  0.18
Francois 1956   16  0.5676  0.0025  0.0617  0.3343  0.1118  0.19
Friedman 1923   75  0.3428  0.0075  0.0384  0.0360  0.0574  0.04
Friedman 1923b   74  0.3525  0.0074  0.0380  0.0356  0.0672  0.04
Friedman 1930   66  0.409  0.0265  0.0471  0.0448  0.0758  0.05
Garcia 2007   76  0.3490  0.0080  0.0464  0.0481  0.0384  0.03
Garcia 2007b   84  0.2362  0.0083  0.0475  0.0482  0.0387  0.03
Gierzod 1998   51  0.4645  0.0061  0.0472  0.0476  0.0383  0.03
Gornostaeva 1994   48  0.4716  0.0122  0.0735  0.2045  0.0928  0.13
Groot 1988   8  0.6015  0.0110  0.156  0.6029  0.383  0.48
Harasiewicz 1955   29  0.5122  0.0120  0.0544  0.1266  0.0352  0.06
Hatto 1993   54  0.4520  0.0143  0.0742  0.1365  0.0447  0.07
Hatto 1997   43  0.4949  0.0041  0.0639  0.1746  0.0832  0.12
Horowitz 1949   72  0.3660  0.0078  0.0476  0.0484  0.0278  0.03
Indjic 1988   47  0.4712  0.0142  0.0740  0.1464  0.0445  0.07
Kapell 1951   46  0.4758  0.0026  0.0621  0.2966  0.0433  0.11
Kissin 1993   60  0.4334  0.0064  0.0470  0.0476  0.0380  0.03
Kushner 1989   38  0.5091  0.0050  0.0650  0.0675  0.0364  0.04
Luisada 1991   17  0.5674  0.0040  0.0738  0.1856  0.0444  0.08
Lushtak 2004   2  0.6714  0.012  0.195  0.6023  0.287  0.41
Malcuzynski 1961   79  0.2971  0.0081  0.0466  0.0488  0.0377  0.03
Magaloff 1978   55  0.4539  0.0047  0.0654  0.0660  0.0555  0.05
Magin 1975   80  0.2880  0.0082  0.0386  0.0380  0.0376  0.03
Michalowski 1933   83  0.2582  0.0071  0.0379  0.0377  0.0379  0.03
Milkina 1970   59  0.4479  0.0046  0.0560  0.0569  0.0465  0.04
Mohovich 1999   7  0.612  0.117  0.144  0.6126  0.355  0.46
Moravec 1969   52  0.4531  0.0067  0.0469  0.0471  0.0375  0.03
Morozova 2008   20  0.5537  0.0019  0.0724  0.2747  0.0531  0.12
Neighaus 1950   33  0.5075  0.0031  0.0625  0.2667  0.0441  0.10
Niedzielski 1931   67  0.4026  0.0059  0.0656  0.0662  0.0363  0.04
Ohlsson 1999   30  0.5133  0.0028  0.0619  0.3147  0.0530  0.12
Osinska 1989   21  0.5578  0.0029  0.0627  0.2664  0.0437  0.10
Pachmann 1927   49  0.4785  0.0054  0.0653  0.0626  0.2134  0.11
Paderewski 1930   70  0.3777  0.0069  0.0562  0.0568  0.0367  0.04
Perlemuter 1992   11  0.6018  0.0124  0.0616  0.3649  0.0526  0.13
Pierdomenico 2008   78  0.3254  0.0079  0.0467  0.0468  0.0462  0.04
Poblocka 1999   63  0.4281  0.0053  0.0747  0.0771  0.0453  0.05
Rabcewiczowa 1932   37  0.5035  0.0018  0.0615  0.3622  0.3310  0.34
Rachmaninoff 1923   41  0.4961  0.0055  0.0652  0.0664  0.0456  0.05
Rangell 2001   81  0.2784  0.0060  0.0473  0.0430  0.2640  0.10
Richter 1976   73  0.3551  0.0073  0.0385  0.0387  0.0288  0.02
Rosen 1989   50  0.4650  0.0044  0.0643  0.1379  0.0349  0.06
Rosenthal 1930   82  0.2588  0.0084  0.0381  0.0386  0.0289  0.02
Rosenthal 1931   85  0.2187  0.0086  0.0474  0.0455  0.0468  0.04
Rosenthal 1931b   88  0.1783  0.0087  0.0288  0.0276  0.0391  0.02
Rosenthal 1931c   86  0.2064  0.0085  0.0383  0.0368  0.0386  0.03
Rosenthal 1931d   87  0.1773  0.0088  0.0387  0.0387  0.0290  0.02
Rossi 2007   69  0.3955  0.0072  0.0382  0.0327  0.2642  0.09
Rubinstein 1939   56  0.4544  0.0068  0.0558  0.0533  0.2729  0.12
Rubinstein 1952   34  0.5067  0.0035  0.0636  0.1830  0.3114  0.24
Rubinstein 1966   6  0.6219  0.019  0.137  0.5516  0.512  0.53
Schilhawsky 1960   36  0.5032  0.0037  0.0641  0.1469  0.0446  0.07
Shebanova 2002   28  0.5269  0.0034  0.0626  0.2686  0.0343  0.09
Smith 1975   13  0.588  0.0212  0.138  0.5325  0.298  0.39
Sokolov 2002   57  0.4421  0.0151  0.0748  0.0754  0.0454  0.05
Sztompka 1959   39  0.5046  0.0045  0.0545  0.1074  0.0448  0.06
Tomsic 1995   40  0.5023  0.0123  0.0629  0.2321  0.3911  0.30
Uninsky 1932   26  0.5347  0.0036  0.0631  0.2262  0.0538  0.10
Uninsky 1971   45  0.4817  0.0133  0.0630  0.2255  0.0635  0.11
Wasowski 1980   23  0.5411  0.025  0.1518  0.3244  0.0920  0.17
Zak 1937   10  0.6068  0.0014  0.1214  0.3963  0.0525  0.14
Zak 1951   9  0.6040  0.0011  0.1412  0.4553  0.0623  0.16
Average   5  0.647  0.034  0.182  0.6957  0.0421  0.17
Random 1   89  -0.0589  0.0091  0.0191  0.0129  0.2961  0.05
Random 2   91  -0.0665  0.0090  0.0189  0.0138  0.1182  0.03
Random 3   90  -0.0548  0.0089  0.0190  0.0114  0.3750  0.06

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).